Dolphin's Functional System and Technical Implementation
Dolphin offers a complete speech processing technology stack with four core functional modules:
- Speech to text (ASR)Convert 40 Asian languages and 22 Chinese dialects into text, and process hours of long audio.
- Voice Activity Detection (VAD): automatic identification of valid speech segments in the audio, with precise marking of start and end times (e.g. 0.0-2.5s: hello)
- Language Identification (LID): Quickly determine the language type of the input audio and output a standard language code (e.g. for Japanese)
- Audio Splitting: Intelligently slices long audio into segments suitable for processing, improving the efficiency of large-scale speech processing
These functions are provided through a unified Python interface and command line tools, and developers can choose base (140M parameters) or small (372M parameters) versions of the model according to their needs, balancing processing speed and recognition accuracy.
This answer comes from the articleDolphin: Asian Language Recognition and Speech-to-Text Modeling for Asian LanguagesThe
May not be reproduced without permission:AI productivity tools " Dolphin supports features that cover a wide range of technical requirements across the entire spectrum of speech processing.
