Kaldi (speech recognition toolkit)
Kaldi is an open-source toolkit for speech recognition research. It provides a flexible and extensible framework for developing state-of-the-art speech recognition systems using various algorithms and models.
Speech Recognition
Common Voice (dataset)
Common Voice is an open-source dataset for voice recognition developed by Mozilla, aimed at improving speech recognition technologies.
Riva (NVIDIA speech and translation)
Riva is an AI software development kit by NVIDIA designed for real-time speech recognition, speech synthesis, and language translation. It leverages deep learning models optimized for NVIDIA GPUs to provide low-latency, high-accuracy speech and language processing capabilities for various applications.
Speech recognition
Speech recognition is the technology that enables machines to identify and process human speech into a machine-readable format. It involves converting spoken language into text or commands using algorithms and acoustic models.
Whisper (speech recognition)
Whisper is an open-source automatic speech recognition system developed by OpenAI. It is designed to transcribe, translate, and understand spoken language using deep learning techniques.
WeNet (production-first speech recognition)
WeNet is an open-source speech recognition toolkit designed with a production-first approach, emphasizing real-world deployment efficiency and scalability. It integrates advanced neural network architectures to facilitate end-to-end speech recognition for various languages and applications.
NeMo (NVIDIA conversational AI toolkit)
NeMo is an open-source toolkit developed by NVIDIA for building conversational AI applications such as speech recognition, natural language processing, and text-to-speech systems. It provides modular components and pre-trained models to facilitate research and deployment of conversational AI technologies.
ESPnet (end-to-end speech processing toolkit)
ESPnet is an open-source toolkit designed for end-to-end speech processing, encompassing speech recognition, speech synthesis, and related tasks. It provides a unified platform leveraging deep learning architectures to streamline development and research in speech technologies.
DeepSpeech
DeepSpeech is an open-source speech-to-text engine developed by Mozilla that uses deep learning techniques to convert spoken language into written text. It is designed to enable efficient and accurate automatic speech recognition (ASR) accessible to developers and researchers.
LibriSpeech
LibriSpeech is a widely used dataset for training and evaluating automatic speech recognition systems, derived from audiobooks.