Speech Intent Classification
2 papers with code • 1 benchmarks • 1 datasets
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Most implemented papers
Skit-S2I: An Indian Accented Speech to Intent dataset
Conventional conversation assistants extract text transcripts from the speech signal using automatic speech recognition (ASR) and then predict intent from the transcriptions.
Efficient Sequence Transduction by Jointly Predicting Tokens and Durations
TDT models for Speech Recognition achieve better accuracy and up to 2. 82X faster inference than conventional Transducers.