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Speech Recognition — xxbb1234021

A Python project that uses TensorFlow to train and test a Chinese speech-recognition model, with a README that references the THCHS30 corpus and scripts for training and testing.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Speech Recognition — xxbb1234021 — OpenViST project profile in AI Models.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want to investigate or run the repository's documented Chinese speech-recognition training workflow using THCHS30.

Who it is for

  • Developers exploring or training Chinese speech-recognition models.
  • Readers seeking a basic code-based training and testing workflow tied to a speech corpus.

Documented uses

  • Prepare project settings for a model-training run.
  • Start training with the repository's train.py script.
  • Start the repository's test.py script.
Before you choose

Requirements & limits

  • The README specifies Python 3.5 and TensorFlow 1.5.0.
  • The workflow references the THCHS30 corpus and configuration in conf/conf.ini.
  • The README names terminal commands and PyCharm as ways to work with the scripts.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Prepare and start the model training workflow

Set up the documented inputs and configuration, then start training.

Before you start

  • Python 3.5
  • TensorFlow 1.5.0
  • The THCHS30 speech corpus referenced by the README

Steps

  1. Obtain the THCHS30 corpus.

  2. Edit the relevant settings in conf/conf.ini.

  3. Run python train.py from a terminal, or work with the project in PyCharm.

Expected outcome

The repository's training script is started with the configured project settings and referenced corpus.

Guide limitations

  • The README does not provide detailed configuration values or a complete dataset preparation procedure.
Documentation 1 ↗
Source-based practical guide

Run the documented test script

Start the repository's test script after preparing the project and its configuration.

Before you start

  • Python 3.5
  • TensorFlow 1.5.0
  • Project configuration in conf/conf.ini

Steps

  1. Set the relevant project options in conf/conf.ini.

  2. Run python test.py from a terminal, or use PyCharm.

Expected outcome

The repository's test script is started.

Guide limitations

  • The README does not explain the test inputs, evaluation procedure, or how to interpret results.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
xxbb1234021/speech_recognition · Official homepage title · retained in its source language
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