Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
A PyTorch-based Speech Toolkit
Frontier CoreML audio models in your apps β text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit
Local, identity-aware speech transcription and diarization engine β turns multi-speaker audio into structured, named intelligence, 100% offline.