An ASR engine by using free transcription API style like OpenAI's v1/audio/transcriptions.
I have 2 backends tested siliconflow and groq.
You can found their API references from below links:
** set key **
cp .env.example .env edit .env set SILICONFLOW_KEY or GROQ_KEY
python mic_example.py
This will realtime transcribe your audio input from microphone to text.
class VADSegmentRealTime:
def __init__(self, sample_rate=8000,voice_confidence=0.80,system_seg_inerval=0.3, user_seg_interval = 0.8, mode="precise", on_text_change=None, on_seg_end=None):
...-
sample_rate: sample rate of your audio input
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voice_confidence: confidence threshold for voice activity detection (VAD)
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system_seg_inerval: minimum interval between segments detected by the system
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user_seg_interval: minimum interval between segments that will be returned to the user
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mode: "precise" or "saving", precise mode is more accurate but slower and consumer more tokens, saving mode is faster but less accurate. "precise" is recommended.
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on_text_change: callback function that is triggered when the text of the current segment changes
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on_seg_end: callback function that is triggered when a user defined segment ends
- silero-vad This project using silero-vad for voice detect and segment.