Speaker Diarization
Showing 8 of 8 projects
Fast automatic speech recognition with accurate word-level timestamps and speaker diarization, built on OpenAI's Whisper.
A next-generation Kaldi-based toolkit for offline speech-to-text, text-to-speech, and audio processing across 12 languages and diverse hardware.
An open-source Python toolkit for speaker diarization with state-of-the-art pretrained models and pipelines.
A Python library for audio feature extraction, classification, segmentation, and machine learning applications.
A pipeline that combines OpenAI Whisper for speech-to-text with speaker diarization to identify who said what in audio.
A Swift SDK for fully local, low-latency audio AI on Apple devices, including transcription, text-to-speech, voice activity detection, and speaker diarization.
An Android chatbot with voice interaction capabilities powered by IBM Watson's AI services on IBM Cloud.
An Oh My Zsh plugin that adds idempotency, speaker diarization, and batch processing to the WhisperX CLI tool.
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