Speaker-Diarization/README.md at master · muskang48/Speaker-Diarization · GitHub
GitHub - cadia-lvl/kaldi-speaker-diarization: This repository creates speaker diarization recipes to be used within the egs folder of kaldi.
GitHub - MahmoudAshraf97/whisper-diarization: Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
Trained on 100,000+ Voices: Deepgram Unveils Next-Gen Speaker Diarization and Language Detection Models - Deepgram Blog ⚡️ | Deepgram
Transcribe a meeting - Hugging Face Audio Course
GitHub - bmonikraj/speaker-diarization-py: Speaker diarization is the problem of identifying different speakers from a conversation and convert the same to speech-to-text format.
Speaker Diarization for Audio Transcription
speaker-diarization-3.1 using 0% gpu · pyannote/pyannote-audio@1882ff1 · GitHub
Speaker Diarization in Python | Picovoice
GitHub - google/uis-rnn: This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
GitHub - WiraDKP/pytorch_speaker_embedding_for_diarization: Using speaker embedding for diarization in PyTorch
GitHub - KevinGeLe/SmartSRT: 📄 SmartSRT is a command-line tool for generating accurate subtitles with per-word timestamps. It uses WhisperAI for speech transcription, NVIDIA NeMo for diarization, and OpenCV for face recognition. The
Speaker Diarization - A Lazy Data Science Guide
speaker-diarization · GitHub Topics · GitHub
The process of speaker diarization. A typical speaker diarization... | Download Scientific Diagram
Speker Diarization Using Whisper Transcription and Nvidia NeMo · openai whisper · Discussion #898 · GitHub
GitHub - pyannote/pyannote-audio: Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
GitHub - wq2012/SpectralCluster: Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.
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self-supervised learning for audio-visual speaker diarization