Practical overview
When it fits
Use it when building a Python project that needs simple speech-input or text-to-speech functions and you can configure the selected recognition library or provider.
Who it is for
- Python developers adding speech transcription to a utility or application.
- Developers who need to choose between API-backed recognition and the documented offline-capable PocketSphinx route.
- Developers adding spoken output from text through pyttsx3.
Documented uses
- Transcribe speech from an audio file.
- Capture and transcribe microphone input.
- Generate speech from supplied text.
Requirements & limits
- Baidu and iFlytek routes require API credentials; iFlytek additionally requires registering the calling API in its management panel.
- PocketSphinx is the documented offline-capable option; the README describes adding a separate Mandarin language pack.
- PyAudio is required for microphone input with SpeechRecognition.
- The environment instructions reference Python 3.6.7 and macOS, with a warning that setup may differ on other systems.
- Text-to-speech uses pyttsx3, with pyobjc listed as a dependency.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Configure Baidu speech-to-text
Prepare the documented Baidu integration to transcribe an audio file or microphone input.
Before you start
- Python environment; the README references Python 3.6.7 on macOS.
- Baidu speech API credentials: APPID, API_KEY and SECRET_KEY.
- The baidu-aip package.
Steps
Install the package with the command below.
pip install baidu-aipFill in APP_ID, API_KEY and SECRET_KEY in
speech_to_text_baidu().Call
speech_to_text_baidu(audio_path="path_of_audio", if_microphone=False)for a file, orspeech_to_text_baidu(if_microphone=True)for microphone input.
Expected outcome
The repository’s Baidu speech-to-text function is configured for the selected input type.
Guide limitations
- The README directs users to apply for a Baidu API; credentials are required.
- The instructions do not describe a fully offline Baidu route.
Set up PocketSphinx recognition
Prepare SpeechRecognition with PocketSphinx for the repository’s documented microphone or audio-file transcription function.
Before you start
- Python environment; setup instructions are based on macOS.
- SpeechRecognition and PocketSphinx packages.
- PyAudio for microphone input.
Steps
Install SpeechRecognition with the command below and PocketSphinx with the command below.
pip install SpeechRecognitionpip install PocketSphinxFor microphone input, install PyAudio; the README’s macOS instructions use Xcode command-line tools, Homebrew PortAudio and
sudo pip install pyaudio.Import
speech_to_text_cmufromSpeech_and_Textand call it with an audio path andif_microphone=False, or setif_microphone=Truefor microphone input.For Mandarin, locate the SpeechRecognition package directory and place the downloaded
zh-CNfolder under itspocketsphinx-datadirectory.
Expected outcome
The documented CMU recognition function is prepared to accept an audio file or microphone input; PocketSphinx is described as capable of offline recognition.
Guide limitations
- The README bases its setup directions on macOS and cautions that other systems may require different configuration.
- The Mandarin language-pack step requires a separate download.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 16 October 2026
- Original website title
- Renovamen/Speech-and-Text · Official homepage title · retained in its source language