Speech & Audio AI

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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.

Deep Learning Machine Learning

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…

Deep Learning Generative AI

Connectionist Temporal Classification

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…

Deep Learning Machine Learning

Speech Recognition

Speech recognition, usually called automatic speech recognition (ASR), is the computational task of converting a spoken-language signal into a sequence of written symbols.

Deep Learning Machine Learning

Wav2Vec

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

Deep Learning Meta AI

WaveNet

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.

Deep Learning Google DeepMind

Whisper

Whisper is an open-source family of automatic speech recognition (ASR) models developed by OpenAI and first released on September 21, 2022.

Deep Learning Natural Language Processing