speech to text python github

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Using the Speech-to-Text API with Python

1. overview.

The Speech-to-Text API enables developers to convert audio to text in over 125 languages and variants, by applying powerful neural network models in an easy to use API.

In this tutorial, you will focus on using the Speech-to-Text API with Python.

What you'll learn

• How to set up your environment
• How to transcribe audio files in English
• How to transcribe audio files with word timestamps
• How to transcribe audio files in different languages

What you'll need

• A Google Cloud project
• A browser, such as Chrome or Firefox
• Familiarity using Python

How will you use this tutorial?

How would you rate your experience with python, how would you rate your experience with google cloud services, 2. setup and requirements, self-paced environment setup.

• Sign-in to the Google Cloud Console and create a new project or reuse an existing one. If you don't already have a Gmail or Google Workspace account, you must create one .

• The Project name is the display name for this project's participants. It is a character string not used by Google APIs. You can always update it.
• The Project ID is unique across all Google Cloud projects and is immutable (cannot be changed after it has been set). The Cloud Console auto-generates a unique string; usually you don't care what it is. In most codelabs, you'll need to reference your Project ID (typically identified as PROJECT_ID ). If you don't like the generated ID, you might generate another random one. Alternatively, you can try your own, and see if it's available. It can't be changed after this step and remains for the duration of the project.
• For your information, there is a third value, a Project Number , which some APIs use. Learn more about all three of these values in the documentation .
• Next, you'll need to enable billing in the Cloud Console to use Cloud resources/APIs. Running through this codelab won't cost much, if anything at all. To shut down resources to avoid incurring billing beyond this tutorial, you can delete the resources you created or delete the project. New Google Cloud users are eligible for the $300 USD Free Trial program.

Start Cloud Shell

While Google Cloud can be operated remotely from your laptop, in this codelab you will be using Cloud Shell , a command line environment running in the Cloud.

Activate Cloud Shell

If this is your first time starting Cloud Shell, you're presented with an intermediate screen describing what it is. If you were presented with an intermediate screen, click Continue .

It should only take a few moments to provision and connect to Cloud Shell.

This virtual machine is loaded with all the development tools needed. It offers a persistent 5 GB home directory and runs in Google Cloud, greatly enhancing network performance and authentication. Much, if not all, of your work in this codelab can be done with a browser.

Once connected to Cloud Shell, you should see that you are authenticated and that the project is set to your project ID.

• Run the following command in Cloud Shell to confirm that you are authenticated:

Command output

• Run the following command in Cloud Shell to confirm that the gcloud command knows about your project:

If it is not, you can set it with this command:

3. Environment setup

Before you can begin using the Speech-to-Text API, run the following command in Cloud Shell to enable the API:

You should see something like this:

Now, you can use the Speech-to-Text API!

Navigate to your home directory:

Create a Python virtual environment to isolate the dependencies:

Activate the virtual environment:

Install IPython and the Speech-to-Text API client library:

Now, you're ready to use the Speech-to-Text API client library!

In the next steps, you'll use an interactive Python interpreter called IPython , which you installed in the previous step. Start a session by running ipython in Cloud Shell:

You're ready to make your first request...

4. Transcribe audio files

In this section, you will transcribe an English audio file.

Copy the following code into your IPython session:

Take a moment to study the code and see how it uses the recognize client library method to transcribe an audio file*.* The config parameter indicates how to process the request and the audio parameter specifies the audio data to be recognized.

Send a request:

You should see the following output:

Update the configuration to enable automatic punctuation and send a new request:

In this step, you were able to transcribe an audio file in English, using different parameters, and print out the result. You can read more about transcribing audio files .

5. Get word timestamps

Speech-to-Text can detect time offsets (timestamps) for the transcribed audio. Time offsets show the beginning and end of each spoken word in the supplied audio. A time offset value represents the amount of time that has elapsed from the beginning of the audio, in increments of 100ms.

To transcribe an audio file with word timestamps, update your code by copying the following into your IPython session:

Take a moment to study the code and see how it transcribes an audio file with word timestamps*.* The enable_word_time_offsets parameter tells the API to return the time offsets for each word (see the doc for more details).

In this step, you were able to transcribe an audio file in English with word timestamps and print the result. Read more about getting word timestamps .

6. Transcribe different languages

The Speech-to-Text API recognizes more than 125 languages and variants! You can find a list of supported languages here .

In this section, you will transcribe a French audio file.

To transcribe the French audio file, update your code by copying the following into your IPython session:

In this step, you were able to transcribe a French audio file and print the result. You can read more about the supported languages .

7. Congratulations!

You learned how to use the Speech-to-Text API using Python to perform different kinds of transcription on audio files!

To clean up your development environment, from Cloud Shell:

• If you're still in your IPython session, go back to the shell: exit
• Stop using the Python virtual environment: deactivate
• Delete your virtual environment folder: cd ~ ; rm -rf ./venv-speech

To delete your Google Cloud project, from Cloud Shell:

• Retrieve your current project ID: PROJECT_ID=$(gcloud config get-value core/project)
• Make sure this is the project you want to delete: echo $PROJECT_ID
• Delete the project: gcloud projects delete $PROJECT_ID
• Test the demo in your browser: https://cloud.google.com/speech-to-text
• Speech-to-Text documentation: https://cloud.google.com/speech-to-text/docs
• Python on Google Cloud: https://cloud.google.com/python
• Cloud Client Libraries for Python: https://github.com/googleapis/google-cloud-python

This work is licensed under a Creative Commons Attribution 2.0 Generic License.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.

Python SDK for working with Voicegain Speech-to-Text

Voicegain Speech-to-Text Python SDK

Python SDK for the Voicegain Speech-to-Text API .

This API allows for large vocabulary speech-to-text transcription as well as grammar-based speech recognition. Both real-time and offline use cases are supported.

You can see the core Voicegain API documentation here .

The complete documentation for the API covered by this SDK is available here - this link requires an account on the Voicegain portal - see below for how to sign up.

Requirements

In order to use this API you need account with Voicegain. You can create an account by signing up on Voicegain Portal . No credit card required to sign up.

You can see pricing here - basically, it is 1 cent a minute for off-line and 1.25 cents a minute for real-time. There is a Free Tier of 600 minutes that renews each month.

Installation

From PyPI directly:

• sync_transcribe example:

configuration:

transcribe local file:

More examples can be found in examples folder on our GitHub

Learn more about the Voicegain Voice AI Platform at www.voicegain.ai

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How to make Python speak

How could I make Python say some text?

I could use Festival with subprocess but I won't be able to control it (or maybe in interactive mode, but it won't be clean).

Is there a Python TTS library? Like an API for Festival, eSpeak, ... ?

• text-to-speech

• does "Festival" have a public API? –  jldupont Commented Oct 23, 2009 at 15:04
• For text to speech I found this package called " gTTS " in Python. You can try this out. It does work with Python 3.5. The github repo for this package is gTTS-github . –  Harshdeep Sokhey Commented Jan 21, 2017 at 21:47

14 Answers 14

A bit cheesy, but if you use a mac you can pass a terminal command to the console from python.

Try typing the following in the terminal:

And there will be a voice from the mac that will speak that. From python such a thing is relatively easy:

• 9 I don't want the say command to block my Python code, so I add an ampersand like this: os.system("say 'hello world' &") –  VinceFior Commented May 17, 2016 at 22:51
• On ubuntu, the terminal command to use is spd-say –  natka_m Commented Nov 26, 2019 at 10:10

You should try using the PyTTSx package since PyTTS is outdated. PyTTSx works with Python 2. For Python 3, install the PyTTSx3 package.

http://pypi.python.org/pypi/pyttsx/

https://pypi.org/project/pyttsx3/

• 6 Does not work for python 3. This answer was up to date as of 2009 –  Jonathan Commented Feb 6, 2015 at 11:36
• 5 Despite being available through pip, still does not work as of 2015 –  OxCantEven Commented Jun 7, 2015 at 15:57
• I confirm it does not work with python3 and easy fixes (printf as a function, fixing exception handling syntax and fixing imports) don't make it work, it simply fails silently. Interfacing with espeak (what it does on Linux) is as simple as spawning a subprocess, so that's what I ended up doing. –  Léo Germond Commented Mar 13, 2016 at 10:47
• 1 Just added a comment eat the top of the question to note this only works with Python 2.x –  Eligio Becerra Commented Mar 22, 2016 at 23:45
• PYTTSX3 works in python 3 too. Its a cool module –  Pear Commented Apr 30, 2021 at 10:12

install pip install pypiwin32

How to use the text to speech features of a Windows PC

Using google text-to-speech api to create an mp3 and hear it.

After you installed the gtts module in cmd: pip install gtts

• 2 You can install required module in your system by running pip install pypiwin32 as administartor. –  Kamil Szot Commented Dec 21, 2016 at 12:35
• 2 Google solution seems to be one of the best : allows to change of language, it is also really fast. –  snoob dogg Commented May 2, 2018 at 23:05
• Strangely, the first code example works on some Windows 10 PCs but not others. Why is that? –  ColorCodin Commented Jul 9, 2018 at 1:06
• 1 @ColorCodin I am not sure, but you should check in the control panel, the syntetized voice (I don't remember the exact name of this options) and see if it has been set... there is a button you can press to see if it works. If it works in the settings, should work with the code, because I think it uses the windows synthesized voice, I think. –  PythonProgrammi Commented Jul 9, 2018 at 17:24
• It's been set, but when the command is run through CMD it says "Access is denied." –  ColorCodin Commented Jul 9, 2018 at 22:41

The python-espeak package is available in Debian, Ubuntu, Redhat, and other Linux distributions. It has recent updates, and works fine.

Jonathan Leaders notes that it also works on Windows, and you can install the mbrola voices as well. See the espeak website at http://espeak.sourceforge.net

A simple Google led me to pyTTS , and a few documents about it . It looks unmaintained and specific to Microsoft's speech engine, however.

On at least Mac OS X, you can use subprocess to call out to the say command, which is quite fun for messing with your coworkers but might not be terribly useful for your needs.

It sounds like Festival has a few public APIs, too:

Festival offers a BSD socket-based interface. This allows Festival to run as a server and allow client programs to access it. Basically the server offers a new command interpreter for each client that attaches to it. The server is forked for each client but this is much faster than having to wait for a Festival process to start from scratch. Also the server can run on a bigger machine, offering much faster synthesis. linky

There's also a full-featured C++ API , which you might be able to make a Python module out of (it's fun!). Festival also offers a pared-down C API -- keep scrolling in that document -- which you might be able to throw ctypes at for a one-off.

Perhaps you've identified a hole in the market?

There are a number of ways to make Python speak in both Python3 and Python2, two great methods are:

If you are on mac you will have the os module built into your computer. You can import the os module using:

You can then use os to run terminal commands using the os.system command:

In terminal, the way you make your computer speak is using the "say" command, thus to make the computer speak you simply use:

If you want to use this to speak a variable you can use:

The second way to get python to speak is to use

• The pyttsx module

You will have to install this using

or for Python3

You can then use the following code to get it to speak:

I hope this helps! :)

Pyttsx3 is a python module which is a modern clone of pyttsx, modified to work with the latest versions of Python 3!

• GitHub: https://github.com/nateshmbhat/pyttsx3
• Read the documentation : https://pyttsx3.readthedocs.org

It is multi-platform , works offline , and works with any python version .

It can be installed with pip install pyttsx3 and usage is the same as pyttsx:

• Is there a recommended way to make saying async? –  Anatoly Alekseev Commented Nov 6, 2020 at 19:42
• @AnatolyAlekseev No there doesn't seem to be one. Just use asyncio or however you do that in python I guess. –  Toby56 Commented Nov 7, 2020 at 23:14

You can use espeak using python for text to speech converter. Here is an example python code

P.S : if espeak isn't installed on your linux system then you need to install it first. Open terminal(using ctrl + alt + T) and type

I prefer to use the Google Text To Speech library because it has a more natural voice.

There is one limitation. gTTS can only convert text to speech and save. So you will have to find another module or function to play that file. (Ex: playsound)

Playsound is a very simple module that has one function, which is to play sound.

You can call playsound.playsound() directly after saving the mp3 file.

There may not be anything 'Python specific', but the KDE and GNOME desktops offer text-to-speech as a part of their accessibility support, and also offer python library bindings. It may be possible to use the python bindings to control the desktop libraries for text to speech.

If using the Jython implementation of Python on the JVM, the FreeTTS system may be usable.

Finally, OSX and Windows have native APIs for text to speech. It may be possible to use these from python via ctypes or other mechanisms such as COM.

If you are using python 3 and windows 10, the best solution that I found to be working is from Giovanni Gianni. This played for me in the male voice:

I also found this video on youtube so if you really want to, you can get someone you know and make your own DIY tts voice.

• Is there a way to get this to work with other languages (Japanese or Chinese?) –  Moondra Commented May 7, 2018 at 21:02

This is what you are looking for. A complete TTS solution for the Mac. You can use this standalone or as a co-location Mac server for web apps:

http://wolfpaulus.com/jounal/mac/ttsserver/

Combining the following sources, the following code works on Windows, Linux and macOS using just the platform and os modules:

• cantdutchthis' answer for the mac command
• natka_m's comment for the Ubuntu command
• BananaAcid's answer for the Windows command
• Louis Brandy's answer for how to detect the OS
• nc3b's answer for how to detect the Linux distribution

Note: This method is not secure and could be exploited by malicious text.

Just use this simple code in python.

Works only for windows OS.

I personally use this.

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Text to Speech API Python: A Comprehensive Guide

Looking for our  Text to Speech Reader ?

Featured In

Table of contents, prerequisites, installing dependencies, google cloud text-to-speech setup, using google cloud text-to-speech, using gtts (google text-to-speech), real-time text-to-speech, language support, audio encoding, configuring voice parameters, linux and windows, source code and documentation.

Text-to-speech ( TTS ) technology has significantly advanced, allowing developers to create high-quality audio from text inputs using various programming languages, including Python. This article will guide you through the process of setting up and using a TTS API in Python, covering installation, configuration, and usage with code examples. We will explore various APIs, including Google Cloud Text-to-Speech and open-source alternatives like gTTS. Whether you need English, French, German, Chinese, or Hindi, this tutorial has got you covered.

Before we start, ensure you have Python 3 installed on your system. You can download it from the official Python website . Additionally, you'll need pip, the Python package installer, which is included with Python 3.

To begin, you'll need to install the required Python libraries. Open your command-line interface (CLI) and run the following command:

These libraries will allow you to interact with the Google Cloud Text-to-Speech API and the open-source gTTS library.

• Step 1 : Create a Google Cloud Project: First, create a project on the Google Cloud Console .
• Step 2 : Enable the Text-to-Speech API: Navigate to the API Library and enable the Google Cloud Text-to-Speech API.
• Step 3 : Create Service Account and API Key: Create a service account and download the JSON key file. Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to point to this file:

Here's a "Hello World" example using the Google Cloud Text-to-Speech API:

This code synthesizes speech from text and saves it as an MP3 file.

For a simpler and open-source alternative, you can use gTTS. Here's a basic example:

To achieve real-time TTS, you can integrate the TTS API with applications that require instant feedback, such as voice assistants or chatbots.

Advanced Configuration and Parameters

Google Cloud Text-to-Speech supports various languages, including English (en-US), French (fr-FR), German (de-DE), Chinese (zh-CN), and Hindi (hi-IN). You can change the language_code parameter in the synthesize_text function to use different languages.

The audio_encoding parameter supports different formats such as MP3, WAV, and FLAC. Modify the AudioConfig accordingly.

You can customize voice parameters such as pitch, speaking rate, and volume gain. For example:

Using the TTS API with Other Platforms

You can integrate the TTS API with Android applications using HTTP requests to the Google Cloud Text-to-Speech API.

The provided Python examples work seamlessly on both Linux and Windows platforms.

Find the complete source code and detailed documentation on GitHub and Google Cloud Text-to-Speech documentation .

In this tutorial, we've covered the basics of setting up and using Text-to-Speech APIs in Python, including Google Cloud Text-to-Speech and gTTS. Whether you need high-quality speech synthesis for English, French, German, Chinese, or Hindi, these tools provide robust solutions. Explore further configurations and parameters to enhance your applications and achieve real-time TTS integration.

By following this guide, you should now be able to convert text to high-quality audio files using Python, enabling you to create engaging and accessible applications.

The free text-to-speech API for Python is gTTS (Google Text-to-Speech), an open-source library that allows you to convert text to speech using Google's TTS API.

Yes, Python can perform text-to-speech using libraries such as gTTS and the Google Cloud Text-to-Speech API, which utilize speech recognition and artificial intelligence technologies.

To use Google Text to Speech API in Python, install the client library, set up your API key, and use the texttospeech SDK to synthesize speech; refer to the quickstart guide for detailed steps.

Google Text to Speech API offers a free tier with limited usage, but for extensive use, pricing terms apply; it provides low latency and high-quality speech synthesis suitable for various machine learning and artificial intelligence applications.

Celebrity Voice Generators: A How to

Cliff Weitzman

Cliff Weitzman is a dyslexia advocate and the CEO and founder of Speechify, the #1 text-to-speech app in the world, totaling over 100,000 5-star reviews and ranking first place in the App Store for the News & Magazines category. In 2017, Weitzman was named to the Forbes 30 under 30 list for his work making the internet more accessible to people with learning disabilities. Cliff Weitzman has been featured in EdSurge, Inc., PC Mag, Entrepreneur, Mashable, among other leading outlets.

speech2speech 0.4.0

pip install speech2speech Copy PIP instructions

Released: Apr 19, 2023

Source lang speech to machine translation to target lang speech

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License: MIT License

Author: rcdalj

Tags speech_recognition, machine_translation, text_to_speech, python-3, chat-gpt, whisper-ai, pyaudio, gtts

Requires: Python >=3, <4

Classifiers

• OSI Approved :: MIT License
• OS Independent
• Python :: 3

Project description

Speech2speech.

The Speech2Speech Python package is a Streamlit Web application that models all phases of speech-to-speech translation , including:

• recording speech in the source language,
• converting the source language speech to source language text,
• translating the source language text to target language text, and
• converting the translated text to speech in the target language.

As a web application, it can be accessed through any web browser and is compatible with Linux, Mac, and Windows operating systems .

Speech2Speech is currently configured to translate to and from 13 different languages . Although the quality of translation may vary depending on the target language, it is pretty good for popular languages such as English, French, Portuguese, Spanish, German, Dutch and Italian. Speech2Speech can be configured for many more than just these languages (specified in the config. ini file), as long as they are supported by Whisper AI, Chat-GPT and gtts, the packages on which it depends.

Speech2Speech is designed to be accessible to a broad audience . One of the key advantages of Speech2Speech is that it's incredibly easy to use:

• The package automatically detects the source language used in speech . The user therefore is not asked to specify it.
• There is no need to train the software or the user before actually using the product . It works well straight out of the box with no further tuning or configuration required. This makes it a highly accessible tool that anyone can use, regardless of their technical expertise or experience with speech recognition and machine translation technology.

It is also hoped that this technology could be leveraged to develop products specifically designed for persons with visual impairments . It can empower them to have texts read aloud or dictate their texts and listen to them being read out loud before forwarding them to their intended recipients.

Each phase of the workflow creates a file, whose name is defined in the config.ini file. Advanced users can start and/or interrupt the workflow wherever they need by inserting their own files in the speech2speech/data subdirectory and adapting the config.ini file to refer to them.

Prerequisites

You need to get an OpenAI API key in order to use this app.

Speech2Speech local installation

Run the following command:

In order to launch it locally follow these steps:

Make sure the microphone and speakers of your device are on.

Enter the following URL in your browser to download the project as a zip file:

• https://github.com/rcdalj/speech2speech/archive/refs/heads/master.zip
• Extract the contents of the zip file, thereby creating a local copy of the project directory
• In the terminal or command prompt, place yourself in the root of the local copy of the project directory (where you find, namely, the requirements.txt file)
• cd <full name of root of local project directory>
• Create a virtual environment:

3.1. On Mac and Linux:

• python3 -m pip install --user virtualenv
• python3 -m venv venv

3.2. On Windows:

• py -m pip install --user virtualenv
• py -m venv env
• Activate the virtual environment:

4.1. On Mac and Linux

• source venv/bin/activate

4.2. On Windows:

• .\env\Scripts\activate
• Install project dependencies:
• pip install -r requirements.txt
• Type the following commands in the terminal to launch Speech2Speech:
• cd speech2speech
• streamlit run speech2speech.py

Here's a step-by-step guide on how to use the full workflow of Speech2Speech:

• Copy your OpenAI API key and paste it into the text box below the label "OpenAI API Key". The API key you enter will not be visible on the screen by default.
• Click the "Record Audio" button to start recording.
• Begin speaking or reading aloud. When your dictation is finished, press CTRL+E to stop recording it. Chat-GPT can automatically detect the language you're speaking (as long as it also supports it), so there's no need to specify it.
• Click the "Transcribe" button to convert your dictation into text.
• Select your desired target language from the dropdown menu under "Target Language".
• Click the "Translate" button to translate the transcription into your chosen target language. The translated text will appear on a blue background after a few seconds.
• Click the "Read Translation" button to listen to the translated text.
• If you want to repeat the process with a new dictation, click the "Refresh Page" button to reset the page.

As indicated above, you can also use just parts of this full workflow by specifying the name(s) of the file(s) you want to use in the config.ini file and by clicking the relevant button of the user interface.

What to do if you encounter issues

If Chat-GPT or Speech2Speech get stuck or you encounter any issues, simply refresh the browser page. ChatGPT may, however, have lots of users at certain times of the day and be poorly responsive for a while.

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Zeph2020 commented May 27, 2020

Good lesson. I realy appreciate. It repeat the sentence several times. How can I stop it? Can I change the carateristics of the voice? How can I translate a pdf text file to mp3? I tried but I have an encode error

In French, we can read the following text:"Ce cours a pour objectif d’initier l’apprenant à la programmation en utilisant le langage C" very well. But in a file, there is a problem to read, when the apostroph caracter ( ' ) is met. How can I solve it?

Sorry, something went wrong.

RiskyTrick commented Jun 5, 2020

helped me a lot

Daniyal421 commented Aug 28, 2020

where to get output file

DuncanWilliamGibbons commented Aug 31, 2020

Thanks, this was very helpful.

How can I use this with different voices and the WaveNet type?

surjitsingh790 commented Dec 3, 2020

It is really helpful, thank you.

MainakRepositor commented Dec 22, 2020

Sir, how can we add some expressions?

pegvin commented Jan 28, 2021

in the folder where your script is

manisha6367 commented Mar 3, 2021

What is the purpose of deploying this as a image container?