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Found 4 papers, 2 papers with code
A low latency ASR-free end to end spoken language understanding system
In recent years, developing a speech understanding system that classifies a waveform to structured data, such as intents and slots, without first transcribing the speech to text has emerged as an interesting research problem.
Speech Model Pre-training for End-to-End Spoken Language Understanding
Whereas conventional spoken language understanding (SLU) systems map speech to text, and then text to intent, end-to-end SLU systems map speech directly to intent through a single trainable model.
Ranked #15 on
Spoken Language Understanding
on Fluent Speech Commands
(using extra training data)
DONUT: CTC-based Query-by-Example Keyword Spotting
Keyword spotting--or wakeword detection--is an essential feature for hands-free operation of modern voice-controlled devices.
Graph based manifold regularized deep neural networks for automatic speech recognition
In this framework, the parameters of the network are optimized to preserve underlying manifold based relationships between speech feature vectors while minimizing a measure of loss between network outputs and targets.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
