Audio Classification Models
Audio classification models are machine learning systems for audio classification, the task of assigning one or more labels to an audio recording or to short fragments of it.
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Audio classification models are machine learning systems for audio classification, the task of assigning one or more labels to an audio recording or to short fragments of it.
AudioCraft is an open-source generative-audio library released by Meta AI (Fundamental AI Research, FAIR) on August 2, 2023 that generates high-quality music and sound from text prompts using a single…
Connectionist temporal classification (CTC) is a loss function and output layer design for training neural networks to label unsegmented sequences, such as transcribing an audio recording into characters when…
Speech recognition, usually called automatic speech recognition (ASR), is the computational task of converting a spoken-language signal into a sequence of written symbols.
Wav2Vec is a family of self-supervised learning models from Meta AI (formerly Facebook AI Research) that learn speech representations directly from raw audio waveforms
WaveNet is a deep generative model for raw audio waveforms developed by DeepMind that synthesizes speech by predicting one waveform sample at a time, each conditioned on all the samples before it.
Whisper is an open-source family of automatic speech recognition (ASR) models developed by OpenAI and first released on September 21, 2022.