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.
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.
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.
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