1 रिपॉजिटरी
Systems capable of processing long-duration audio streams while maintaining a sequential text stream.
Distinct from Speech Recognition: Focuses on the continuity and management of long-form audio rather than short-utterance recognition.
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This project is a Chinese automatic speech recognition framework and deep learning system designed to convert spoken Chinese audio into written text. It functions as a toolkit for training, evaluating, and deploying speech-to-text models, utilizing a specialized pinyin-to-text converter that transforms phonetic sequences into Chinese characters using a probability graph model. The system is distinguished by its deployment flexibility, offering a dockerized recognition server that provides transcription capabilities as a remote API. It supports high-performance streaming through a gRPC speech-
Captures long-duration audio and manages asynchronous requests to maintain a continuous sequential text stream.