UniSpeech - Large Scale Self-Supervised Learning for Speech
The dataset of Speech Recognition
Speaker diarization in Rust with pyannote-level accuracy. 1790β5970x realtime on NVIDIA GPUs, 430β910x on Apple Silicon.
This is a repository of neural full-rank spatial covariance analysis with speaker activity (neural FCASA).
Dα»± Γ‘n cΓ΄ng cα»₯ chuyα»n Δα»i giα»ng nΓ³i dΓ nh cho ngΖ°α»i Viα»t
Repository for "LLM-based speaker diarization correction: A generalizable approach" paper
Template Project For iOS Apps using .onnx Speech Models for Speech Diarization
Vid2Manga is an innovative application designed to bridge the gap between video content and manga-style storytelling. By leveraging advanced video processing and speech-to-text technologies, Vid2Manga extracts audio and visual components from video files to create a foundation for manga generation.
A demo to show Speech Diarization (seperating audio of different speaker) and converting them to text using Google Cloud Speech API.
Speech transcription and speech diarization
A powerful, local speech-to-text transcription system that combines OpenAI's Whisper for accurate transcription with pyannote.audio for speaker diarization (identifying who spoke when). Perfect for meetings, interviews, podcasts, and any audio/video content that needs accurate transcription with speaker identification.
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