Speech Commands dataset
The Speech Commands dataset is a collection of audio recordings used for training and evaluating speech recognition systems. It contains various spoken commands.
Speech Recognition
Silero (speech recognition and VAD)
Silero is an open-source toolkit that provides speech recognition and voice activity detection (VAD) capabilities. It is designed to offer efficient, high-quality models for transcribing spoken language and detecting speech segments within audio streams.
Lookahead decoding
Lookahead decoding is a computational strategy used in natural language processing and speech recognition that involves anticipating future inputs or outputs to improve decision-making during sequence generation. By considering possible future tokens or states before finalizing a current choice, lookahead decoding aims to enhance accuracy and performance in tasks involving sequential data.
Vosk (offline speech recognition)
Vosk is an offline speech recognition toolkit designed for real-time transcription and voice interface applications. It supports multiple languages and platforms, enabling speech-to-text processing without an internet connection.
Character error rate (CER)
Character error rate (CER) is a metric used to measure the accuracy of text recognition systems by calculating the percentage of characters that are incorrectly predicted. It is commonly applied in fields such as speech recognition and optical character recognition to evaluate performance.
WhisperX (forced alignment for Whisper)
WhisperX is a tool designed to perform forced alignment on audio transcriptions generated by OpenAI’s Whisper model, enhancing the precision of speech-to-text timestamps. It integrates Whisper’s capabilities with alignment techniques to improve temporal accuracy in transcriptions.