Speech To Text Python Github

7 installed with the PubNub Python SDK. Suitable for both beginner and professional developers. PDF To Text Python - How To Extract Text From PDF Before proceeding to main topic of this post, i will explain you some use cases where these type of PDF extraction required. Speech-to-text from Azure Speech Services, also known as speech-to-text, enables real-time transcription of audio streams into text that your applications, tools, or devices can consume, display, and take action on as command input. import azure. elpy - Emacs Python Development Environment. What would Siri or Alexa be without it?. Speech recognition, even though it is widely used (and is on our phones), still seems kind of sci-fi-ish to me. Thanks to all ;) [edit]Spurious italics removed: if you want to highlight parts of a question, ensure the "Ignore HTML in text" option is not checked. I have a Python script using the speech_recognition package to recognize speech and return the text of what was spoken. 07/05/2019; 3 minutes to read; In this article. SpeechRecognition is a library that helps in performing speech recognition in python. Speech to text conversions have many applications in engineering field mostly for biomedical application and consumer electronics. paper; audio samples. Use optional words or phrases to define a part of the command as optional. AIML stands for Artificial Intelligence Markup Language, but it is just simple XML. The transcription has a few seconds delay, however. stop_listening(self). TextBlob is a Python (2 and 3) library for processing textual data. In this tutorial we will use Google Speech Recognition Engine with Python. This is the home of the subreddit for the Openbox Window Manager which runs on Linux and BSD. Save SVM in Python. This section contains links to documents which describe how to use Sphinx to recognize speech. Getting Started. Quickstart: Recognize speech, Python - Speech Service - Azure Cognitive Services | Microsoft Docs. Yes, you can let your computer read text to you. Examples in Python and NLTK. It allows us to remove the prefixes, suffixes from a word and and change it to its base form. Table of Contents. Methods defined here: __init__(self, context, grammar, callback) This should never be called directly; use winspeech. How to create a standard Jasper module. That is, there’s some new stuff in the GitHub and Slack integration, such as added support for creating deployments, checks, and draft pull requests. SpeechRecognition is a library that helps in performing speech recognition in python. This documentation describes the pyttsx3 Python package v 2. Now it is time to learn it. One example is, you are using job portal where people used to upload their CV in PDF format. Clips vary in length from 1 to 10 seconds and have a total length of approximately 24 hours. Here are some experiments with the pyTTS. How can we use speech synthesis in Python? Related courses: Machine Learning Intro for Python Developers. Merlin comes with recipes (in the spirit of the Kaldi automatic speech recognition toolkit) to show you how to build state-of-the art systems. SoCo (Sonos Controller) lets you control your Sonos speakers from Python or the commandline. pyAudioAnalysis is licensed under the Apache License and is available at GitHub (https. Likewise, it allows users to easily loop musical tracks and add musical underlays à la This American Life. All code and sample files can be found in speech-to-text GitHub repo. e google text to speech library. GitHub (1) Python (18) Python 강좌 (3) 소켓(Socket) 프로그래밍 pyttsx를 이용하여 python에서 text to speech. On the Python shell, you should get an output similar to figure 1, with the default values for the speech rate, volume and voice. I think you mean Text-To-Speech (TTS) since you are talking about a robotic voice. This page describes how to transcribe audio files that include more than one channel using Cloud Speech-to-Text. I want it to react when I say certain words (which it does), however, I want to create. It offers a framework for building speech synthesis systems. I also invite you to our Github repository hosting PyTorch implementation of the first version implementation. Text to Speech is an easy method to add dynamic voice to your phone capabilities. If you have a pre-recorded audio file, you can turn on speech recognition inside Dictation, play the audio file and get the speech as text ( see demo ). GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. We know speech technology is very useful for the blind. Speech is the most basic means of adult human communication. elpy - Emacs Python Development Environment. Another important module that allow us to play the converted text called OS module. 08969, Oct 2017. See also gTTS, for a similar but probably more advanced, and actively maintained projet. It must be based on some kind of "external service". I want it to react when I say certain words (which it does), however, I want to create. From a WAV audio file, developers can integrate recognition services to translate into text. e google text to speech library. The IBM® Text to Speech service provides APIs that use IBM's speech-synthesis capabilities to synthesize text into natural-sounding speech in a variety of languages, dialects, and voices. For audio of two people talking over the phone, as an example, the audio may contain two channels where each line is recorded separately. If your call center recordings involve specialized terminology, such as product names or IT jargon, create a custom language model to teach Speech Services the vocabulary. Google Cloud Speech API, Micro. Android - Text To Speech. $ aws polly synthesize-speech \ --output-format mp3 --voice-id Joanna \ --text "Hello my name is Joanna. Hideyuki Tachibana, Katsuya Uenoyama, Shunsuke Aihara, “Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention”. We don't share it 3rd parties, other than Google for the speech-to-text engine. Download the free spoken digit dataset. (We switched to PyTorch for obvious reasons). filling all available space. In this example we sent it a complete audio file, but you can also use the longrunningrecognize method to perform streaming speech to text transcription while the user is still speaking. Klein ( 16 ) | Feb 11, 2015 at 05:54 AM watson speech-to-text ibmcloud When calling the /v1/sessions API I also get a recognizeWS entry. Convert Audio to Text with Google Cloud Speech API The Online Dictation app uses the HTML5 Speech Recognition API to transcribe your voice into digital text. Text to speech (TTS) and automatic speech recognition (ASR) are two dual tasks in speech processing and both achieve impressive performance thanks to the recent advance in deep learning and large amount of aligned speech and text data. In November 2018, we added streaming transcriptions over HTTP/2 to Amazon Transcribe. 07/05/2019; 3 minutes to read; In this article. Related course:. The voice is passed on to Watson Speech to Text using a WebSocket connection. In my case it installs Python 3. Text To Speech Speech synthesis from text is a compelling feature that can be added to enhance an application. Emotion can be from the frequency of voice or from the speech. AIML stands for Artificial Intelligence Markup Language, but it is just simple XML. The task is relatively easy, if you have Windows on your machine. Powered by the latest AI technology, these 34 languages are available across 48 locales and 78 voice fonts. Merlin is free software, distributed under an Apache License Version 2. Sign up Example transcribing audio file (speech) to text with Google Cloud Speech API and Python. Python Packaging User Guide¶ Welcome to the Python Packaging User Guide , a collection of tutorials and references to help you distribute and install Python packages with modern tools. In this tutorial, we’ll use the ‘Meaning of Life’ (Life. Users may make use of a Python backend with 'spaCy' or the Java backend 'CoreNLP'. Edit this page on GitHub ← Mary Text-to-Speech Polly Text-to. We don't share it 3rd parties, other than Google for the speech-to-text engine. This AGI script makes use of Google's Cloud Speech API in order to render speech to text and return it back to the dialplan as an asterisk channel variable. The quality of the spoken voice depends on your speech engine. It makes use of Emscripten to convert PocketSphinx, an open-source speech recognizer written in C, into JavaScript or WebAssembly. Bing Speech lets you do text-to-speech and speech-to-text through REST calls to Cognitive Services. From man spd-say:. I regularly attend conferences, like San. Likewise, it allows users to easily loop musical tracks and add musical underlays à la This American Life. The API has excellent results for English language. However, pyttsx supports only Python 2. Using Google Speech API from Python. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. The API recognizes over 80 languages and variants, to support your global user base. GcpTextToSpeechSynthesizeOperator¶. js, PHP, Python, and Ruby. One possible approach is shown in this demo, which is powered by speak. I had applied some RNN layers in the combined model above, but I did not really know how it worked. gTTS is a very easy to use tool which converts the text entered, into audio which can be saved as a mp3 file. We are opting to not make use of any of these, as. To set up Speech Recognition on your device, use these steps: Open Control Panel. Hello Friends, in this video we are first going to do a google search through our voice in the Python Programming Language. When data is in text format, we usually use text mining techniques to mine out knowledge. What would Siri or Alexa be without it?. Emotion can be from the frequency of voice or from the speech. Voice and speed options can be configured. Recent Posts. Table of Contents. GitHub Gist: instantly share code, notes, and snippets. phoneme synthesis A modern JavaScript-enabled browser is required. Make sure you have it on your computer by running the following command: sudo apt install python-pip. speech as speechsdk speech_key, service_region = "YourSubscriptionKey", "YourServiceRegion" def translate_speech_to_text(): # Creates an instance of a speech translation config with specified subscription key and service region. Share Java Project ideas and topics with us. To put it simply, you can use the Watson Speech to Text API to add speech transcription capabilities to your applications. The text submissions are disassociated from the submitter, stored in encrypted form for up to 6 months, and used to maintain and improve Polly. The client streams audio to the STT service and receives recognition hypotheses in real time. , although generally computational applications use more fine-grained POS tags like 'noun-plural'. Join the discussion and leave a comment, in the case of any doubts. Speech synthesiser. 之前看到油管上有老外使用自己的声音实现了简单的英语 TTS。我试着用 Python 改写了个中文的版本,并自己录制了语音库,部署到了 AWS 上。 网站: HanTTS. She is a native English speaker and. Convert Text to Speech in Python There are several APIs available to convert text to speech in python. November 23, 2017 Stemming and lemmatization are essential for many text mining tasks such as information retrieval, text summarization, topic extraction as well as translation. Speech to Text command using IBM Watson API. The Machine Learning Group at Mozilla Research is working on an open source speech-to-text engine using deep learning training techniques. A text-to-speech system (or "engine") is composed of two parts: a front-end and a back-end. Unlike pre-recorded audio, this feature can be used to deliver spoken versions of text such as live information (e. Speech recognition allows you to convert audio to text which inturn is analyzed to find out what kind of emotions it contains. 1 adds Automation support to the features of the previous version of the Speech SDK. Most modern speech recognition systems rely on what is known as a Hidden Markov Model (HMM). google_tts: simple python script to convert text to speech based on Google Translate - tts. Google Text to Speech. Table of Contents. She is a native English speaker and. Instead of typing your email, story, class or conversation, you can just speak and this tool can convert it into text. In order to use this class, you need to instantiate an object of this class and also specify the initListener. I have explained how to convert speech to text using. arXiv:1710. For parameter definition, take a look at airflow. GitHub Gist: instantly share code, notes, and snippets. Android - Text To Speech. Quickstart: Get the list of text-to-speech voices using Python. Google now requires an API Key to use Google Translate on your website and charges $20 USD per million characters. Most of the languages need proofreading, you can either proofread using Crowdin WYSIWYG interface (recommended) or by manually editing the. Rahul Vaish. Its syntax is given below −. A text-to-speech system (or "engine") is composed of two parts: a front-end and a back-end. Reading and Writing to text files in Python Python provides inbuilt functions for creating, writing and reading files. Text To Speech becomes very easy in C#. Org X Window System that runs on OS X. Text to speech without internet connection (using pyttsx3) Text to speech having internet connection (using gTTS) Python Text to Speech Example Method 1: Using pyttsx3. SublimeJEDI - A Sublime Text plugin to the awesome auto-complete library Jedi. This sample has been deprecated. Yes, you can let your computer read text to you. pyttsx3 is a text-to-speech conversion library in Python. What would Siri or Alexa be without it?. This tutorial will walk through using Google Cloud Speech API to transcribe a large audio file. Quickstart: Using the Python REST API to call the Text Analytics Cognitive Service. Oh, Tweets. Converting Speech to Text is very easy in python. Hideyuki Tachibana, Katsuya Uenoyama, Shunsuke Aihara, "Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention". They have options to stream the audio or to send it as a single request. Spoken Digit Speech Recognition¶ This is a complete example of training an spoken digit speech recognition model on the "MNIST dataset of speech recognition". Cloud Speech-to-Text comes with multiple pre-built speech recognition models so you can optimize for your use case (such as, voice commands). However, WaveNet inference poses a. Python comes with many handy and easily available libraries and in this article, we are going to look at how we can output text-to-speech with Python. Instead of typing your email, story, class or conversation, you can just speak and this tool can convert it into text. Voice and speed options can be configured. Python Network Programming - Part 1: Build 7 Python Apps; socket server code This code will start a simple web server using sockets. For phrases with the highest frequency of occurrence in your audio data, you should give them the highest values of boost. stop_listening(self). Google Cloud Speech API client library. It was originally developed as a collaborative project of DFKI 's Language Technology Lab and the Institute of Phonetics at Saarland University. The input to an LSTM network is a sequence of vectors X = { x 1 , x 2 , … , x T } ⁠ , where vector x i is a representation vector of a word in the input sentence. Below is a video example of machine speech recognition on a 1906 Edison Phonograph advertisement. Quickstart: Recognize speech, Python - Speech Service - Azure Cognitive Services | Microsoft Docs. Python is a popular and powerful interpreted language. Text To Speech [Into File]— Python. Python is a computer programming language that lets you work more quickly than other programming languages. The text from Watson Speech to Text is extracted and sent as input to Watson Assistant. We hope, this tutorial was helpful for you to in integrating Speech to Text in your Android app. Make sure you have it on your computer by running the following command: sudo apt install python-pip. To do this, we'll be using the GStreamer media library and CMU's PocketSphinx speech-to-text utility, running with Python 2. XNU is an acronym for XNU is Not Unix. Check out the configuration section to learn what STT/TTS engines are and what you need to do to use them. iSpeech Text to Speech (TTS) and Speech Recognition (ASR) SDK for Python lets you Speech-enable any Python App quickly and easily with iSpeech Cloud. Speech-to-text from Azure Speech Services, also known as speech-to-text, enables real-time transcription of audio streams into text that your applications, tools, or devices can consume, display, and take action on as command input. Launching GitHub Desktop If nothing happens, download GitHub Desktop and try again. A pause of 500 milliseconds is inserted between each line because even DALEKs need to take a breath. User selects the microphone option on the browser and speaks. Python supports many speech recognition engines and APIs, including Google Speech Engine, Google Cloud Speech API, Microsoft Bing Voice Recognition and IBM Speech to Text. The script takes an audio file as input and converts that into text. Examples in Python and NLTK. I also invite you to our Github repository hosting PyTorch implementation of the first version implementation. Polly encrypts all data at rest and transfers the audio across SSL connections. elpy - Emacs Python Development Environment. On the Python shell, you should get an output similar to figure 1, with the default values for the speech rate, volume and voice. PocketSphinx supports for the GStreamer streaming media framework. Getting Started. In this quickstart, you'll learn how to get the full list of standard and neural voices for a region/endpoint using Python. TextBlob: Simplified Text Processing¶. In this article, we’ll build a mobile app that will recognize our voice and convert it to text (speech-to-text), translate the text to a language of our choice, and convert our translated text. [code]import talkey text_to_speech = talkey. However, I need to include the timestamps for all the words in the transcription. speech as speechsdk speech_key, service_region = "YourSubscriptionKey", "YourServiceRegion" def translate_speech_to_text(): # Creates an instance of a speech translation config with specified subscription key and service region. This is possible, although the results can be disappointing. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. Speech Recognition in Python using Google Speech API Speech Recognition is an important feature in several applications used such as home automation, artificial intelligence, etc. Integrate Watson Speech To Text, Watson Text To Speech, and Watson Assistant in a web app; Flow. The Watson Text to Speech API come with about a dozen different sounding voices and is tailorable. This API allows fine control and flexibility over the speech recognition capabilities in Chrome version 25 and later. If you take a look at the project on GitHub you’ll see that the library is writing the image to a temporary file on disk followed by calling the tesseract binary on the file and capturing the resulting output. Instead of editing speech using waveforms, the speecheditor allows you to edit audio with text, like a word processor. Table of Contents. Po • May 21, 2016 50 Projects • 14 Followers Post Comment. I decided to split the code into 3 parts : Ears, Mouth and Brain. User selects the microphone option on the browser and speaks. My code currently is able to read an audio file and transcribe it using Azure Speech to Text, with help from an example that I found on GitHub. Make sure you have it on your computer by running the following command: sudo apt install python-pip. For parameter definition, take a look at airflow. SpeechRecognition is a library that helps in performing speech recognition in python. The functionality depends on the torrc setup. I love Python, it is definitely my favorite and go-to language for smaller programs, or scripts. One of such APIs is the Google Text to Speech API commonly known as the gTTS API. Python Speech recognition forms an integral part of Artificial Intelligence. pyttsx - Text-to-speech x-platform¶. Select the type of microphone you'll be using. There are several APIs available to convert text to speech in python. Prior work has demonstrated that a WaveNet (van den Oord et al. Release v0. The first part of the class focuses on the data preparation including data collection and cleaning and the second part covers various topics from traditional NLP. Also read, how to integrate Text to Speech converter in your Android application. It turns you can use Google speech to text API to perform speaker diarization. filling all available space. Build smart apps and services that speak to users naturally with the Text to Speech service. This project consists of a python client that interacts with the IBM Watson Speech To Text service through its WebSockets interface. When finished, you can use your computer's microphone to transcribe speech to text in real time. Python & PyTorch Implementation of "Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis" (SV2TTS) with a vocoder that works in real-time. From man spd-say:. Let's learn about - Creating Text-To-Speech with Python and gTTS Creating Text-to-speech files has been a dream for many of us since we were kids. It support for several engines and APIs, online and offline e. In this, i will show you how you can firstly extract data from a text file then convert it into audio and finally save it into an audio file module used is gtts (google text to speech) source code. Text-to-speech from Azure Speech Services is a service that enables your applications, tools, or devices to convert text into natural human-like synthesized speech. stop_listening(self). google_tts: simple python script to convert text to speech based on Google Translate - tts. Org X Window System that runs on OS X. Integrate Watson Speech To Text, Watson Text To Speech, and Watson Assistant in a web app; Flow. Enter some text in the input below and press return to hear it. Sublime Text. How to build a text to speech IOT speaker In this project we'll be building a speaker that has text to speech ability and will expose a secure API for remote control. As you know, one of the more interesting areas in audio processing in machine learning is Speech Recognition. Then run the following script to check installation. Text to speech Pyttsx text to speech. I have a Python script using the speech_recognition package to recognize speech and return the text of what was spoken. Likewise, it allows users to easily loop musical tracks and add musical underlays à la This American Life. 27 and later versions. GitHub Gist: instantly share code, notes, and snippets. Thank you. Moreover, we saw reading a segment and dealing with noise in Speech Recognition Python tutorial. Cons: CLI-only. I love Python, it is definitely my favorite and go-to language for smaller programs, or scripts. Jasper is an open source platform for developing always-on, voice-controlled applications. Po • May 21, 2016 50 Projects • 14 Followers Post Comment. Text to speech converter is a great technology which is now a days used in many software. Simple speech recognition in Python 10 Apr 2014 on python, speech, and scribe Sometime today, I got the idea to try to do automatic speech recognition. This is a complete Python programming tutorial (for both Python 2 and Python 3!). One possible approach is shown in this demo, which is powered by speak. The Synthesis itself is done on Google's. We don't share it 3rd parties, other than Google for the speech-to-text engine. And now, you can install DeepSpeech for your current user. Unlike alternative libraries, it works offline, and is compatible with both Python 2 and 3. The Cloud Speech API enables developers to convert audio to text by applying powerful neural network models. The Microsoft Speech SDK 5. The video includes a running trace of sound amplitude, extracted spectrogram, and predicted text. Distinguish phrases by channel in speech to text 1 Answer Gaps in speech to text transcript 1 Answer How to use Watson Speech to Text on Unity? 4 Answers About Speech to text Bluemix Lite plan problem 1 Answer Which Speech to Text Interface? 0 Answers. The cleanNLP package is designed to make it as painless as possible to turn raw text into feature-rich data frames. There were a number of problems I initially encountered, but that was due to ensuring the correct packages had been installed. This AGI script makes use of Google's Cloud Speech API in order to render speech to text and return it back to the dialplan as an asterisk channel variable. server Python speech server (optional) HTTPTTSD Windows Perl speech server (optional) is maintained by ruuk. I have a Python script using the speech_recognition package to recognize speech and return the text of what was spoken. (We switched to PyTorch for obvious reasons). For a quick demonstration (without building the Visual Studio project yourself, as described in this article), get the latest Cognitive Services Speech SDK Samples from GitHub. This is the home of the subreddit for the Openbox Window Manager which runs on Linux and BSD. ), and retrieve callbacks from the system. Google Text to Speech. This article aims to provide an introduction on how to make use of the SpeechRecognition library of Python. Speech recognition, even though it is widely used (and is on our phones), still seems kind of sci-fi-ish to me. One of such APIs is the Google Text to Speech API commonly known as the gTTS API. The basic goal of speech processing is to provide an interaction between a human and a machine. Use this guide to create a speech-to-text console application that uses the Speech SDK for Python. So welcome to How To Add Code To GitHub Using PyCharm Tutorial. GitHub; Control anything with your voice Learn how to build your own Jasper. Text To Speech (TTS) A computer system used to create artificial speech is called a speech synthesizer, and can be implemented in software or hardware products. This setup is extensible - if you're not looking for speech-to-text and instead want to do some other audio processing, GStreamer has a wide array of plugins that can be hooked up to your multi-microphone array to do recording, audio level monitoring. jedi-vim - Vim bindings for the Jedi auto-completion library for Python. Read the documentation at cstr-edinburgh. py can run on any PC or computer as long as it has Python 2. One example is, you are using job portal where people used to upload their CV in PDF format. listen_for_anything() to create Listener objects. My code currently is able to read an audio file and transcribe it using Azure Speech to Text, with help from an example that I found on GitHub. Join the discussion and leave a comment, in the case of any doubts. A text-to-speech (TTS) system converts normal language text into speech. This enabled users to pass a live audio stream to our service and, in return, receive text transcripts in real time. Integrate Watson Speech To Text, Watson Text To Speech, and Watson Assistant in a web app; Flow. SoCo (Sonos Controller) lets you control your Sonos speakers from Python or the commandline. Speech synthesiser. In this article, I am going to introduce you to speech to text recognition. 7 on Ubuntu 14. Speech Recognition with Python. It's called gTTS. The video includes a running trace of sound amplitude, extracted spectrogram, and predicted text. It allows us to remove the prefixes, suffixes from a word and and change it to its base form. Index the transcription for full-text search or apply Text Analytics to detect sentiment, language and key phrases for insights. It support for several engines and APIs, online and offline e. Cloud Speech-to-Text comes with multiple pre-built speech recognition models so you can optimize for your use case (such as, voice commands). TextBlob is a Python (2 and 3) library for processing textual data. Not the most elegant form of communication, but concise and a robust way to get real time feedback and information. As members of the deep learning R&D team at SVDS, we are interested in comparing Recurrent Neural Network (RNN) and other approaches to speech recognition. Sign up Example transcribing audio file (speech) to text with Google Cloud Speech API and Python. The objective of this post is to explain how to synthesis a simple speech using Python and the pyttsx module. This sample has been deprecated. I don't know where to start. The IBM Watson Speech to Text Python Sample Code by IBM demonstrates how to integrate speech to text features into applications. GcpTextToSpeechSynthesizeOperator¶. A transcription is provided for each clip. Reading and Writing to text files in Python Python provides inbuilt functions for creating, writing and reading files. November 23, 2017 Stemming and lemmatization are essential for many text mining tasks such as information retrieval, text summarization, topic extraction as well as translation. Don’t worry if you dont know the VoiceKey words, the small program I have written lists them out for you and then you can use them. If your call center recordings involve specialized terminology, such as product names or IT jargon, create a custom language model to teach Speech Services the vocabulary. BlockedNumbers; Browser; CalendarContract; CalendarContract. Speech is also data, can be treated similar to text data (only analogy) Problem is reduced to classifier problem Can be solved effeciently by any one of the machine learning technique. Converting Text into Speech is extremely easy. A Part-Of-Speech Tagger (POS Tagger) is a piece of software that reads text in some language and assigns parts of speech to each word (and other token), such as noun, verb, adjective, etc. The Cloud Speech API enables developers to convert audio to text by applying powerful neural network models. This Week in Programming. And now, you can install DeepSpeech for your current user. net language I mean when i speak the program write my words. Note: This library did not always give correct results for me, so it may not be advisable to use it in production. Unlike pre-recorded audio, this feature can be used to deliver spoken versions of text such as live information (e. 代码: Github 欢迎 Star/Fork/Pull Request. In current practice, speech structure is understood as follows:. We envision a multimodal workflow, where, e. This recipe shows how to use the 'speech' (or 'pyspeech' - it seems to have two names) Python library to make the computer recognize what you say and convert it to text. And the first thing to do is a comprehensive literature review (like a boss). So, in conclusion to this Python Speech Recognition, we discussed Speech Recognition API to read an Audio file in Python.