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This PR adds support for T-one streaming Russian ASR models in both C++ and Python APIs. The T-one model is a CTC-based Russian speech recognition model with specific characteristics including float16 state handling, 300ms frame lengths, and 8kHz sampling rate. - Added new OnlineToneCtcModel implementation with specialized processing for T-one models - Integrated T-one support into the existing CTC model pipeline and Python bindings - Added Python example and test scripts for the new functionality
File description
- ./http_server.py It defines which files to server. Files are saved in ./web.
- non_streaming_server.py WebSocket server for non-streaming models.
- vad-remove-non-speech-segments.py It uses silero-vad to remove non-speech segments and concatenate all speech segments into a single one.
- vad-with-non-streaming-asr.py It shows how to use VAD with a non-streaming ASR model for speech recognition from a microphone