ASRT_SpeechRecognition and ctc-asr

Tool A, a deep-learning-based Chinese speech recognition system, and Tool B, an end-to-end trained speech recognition system based on RNNs and CTC, are ecosystem siblings because Tool A is an implementation of a CTC-based ASR system, demonstrating the practical application of the concepts and techniques that Tool B describes in its abstract.

ASRT_SpeechRecognition
53
Established
ctc-asr
47
Emerging
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 21/25
Stars: 8,359
Forks: 1,905
Downloads:
Commits (30d): 0
Language: Python
License: GPL-3.0
Stars: 123
Forks: 36
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About ASRT_SpeechRecognition

nl8590687/ASRT_SpeechRecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

This project helps convert spoken Chinese audio into written Chinese text. You provide audio files or live voice input in Mandarin Chinese, and it outputs the corresponding Chinese characters. This is ideal for developers building applications that need to transcribe Chinese speech, such as voice assistants, call center analytics, or dictation tools.

speech-to-text voice-recognition Mandarin-transcription natural-language-processing audio-processing

About ctc-asr

mdangschat/ctc-asr

End-to-end trained speech recognition system, based on RNNs and the connectionist temporal classification (CTC) cost function.

This is an automatic speech recognition (ASR) system that converts spoken audio into written text. You provide audio files (WAV format) and the system outputs their transcriptions. This tool is for researchers, linguists, or anyone needing to convert large audio datasets into text for analysis or further processing.

speech-to-text audio-transcription linguistics-research voice-data-processing

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