A Streaming End-to-End Framework For Spoken Language Understanding
cs.CL, cs.SD, eess.AS
Submitted: 2021-05-20
Updated: 2021-07-17
Terminology
Sources
- A neural attention model for speech command recognition
- Listen, Attend and Spell
- Temporal Convolution for Real-time Keyword Spotting on Mobile Devices
- End-to-End Spoken Language Understanding Without Full Transcripts
- End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification
- Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks
- Decoupled Weight Decay Regularization
- Speech Model Pre-training for End-to-End Spoken Language Understanding
- A low latency ASR-free end to end spoken language understanding system
- Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition
- RNN based Incremental Online Spoken Language Understanding
- Improving End-to-End Speech-to-Intent Classification with Reptile
- Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Related papers
- Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
- Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
- Subliminal Steering: Stronger Encoding of Hidden Signals
- MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
- The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
- Untangling the Mechanisms of Misleading Context in Medical Question Answering