Automatic Speech Recognition
Showing 10 of 10 projects
High-performance C/C++ port of OpenAI's Whisper for efficient, cross-platform speech recognition.
A high-performance C/C++ port of OpenAI's Whisper model for efficient, cross-platform speech recognition.
A fast, memory-efficient reimplementation of OpenAI's Whisper speech-to-text model using CTranslate2.
Fast automatic speech recognition with accurate word-level timestamps and speaker diarization, built on OpenAI's Whisper.
A high-performance automatic speech recognition toolkit from Facebook AI Research, built with fully convolutional neural networks.
Facebook AI Research's automatic speech recognition toolkit for end-to-end ASR with modern neural architectures.
A pipeline that combines OpenAI Whisper for speech-to-text with speaker diarization to identify who said what in audio.
A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.
A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.
A Python library that extends OpenAI's Whisper to provide accurate word-level timestamps and confidence scores for multilingual speech recognition.
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