A PyTorch-based Speech Toolkit
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Updated
Jan 22, 2025 - Python
A PyTorch-based Speech Toolkit
End-to-End Speech Processing Toolkit
On-device Speech-to-Intent engine powered by deep learning
ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
Open source code for EMNLP-19 Paper "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".
Open source code for EMNLP 2020 Findings Paper "AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling"
Dataset Release for Intent Classification from Speech
Open source code and data for AAAI 2022 Oral Paper "Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding"
Source code for ACL 2020 paper "Learning Spoken Language Representations with Neural Lattice Language Modeling"
EMNLP-2020: Cross-lingual Spoken Language Understanding with Regularized Representation Alignment
Semi-supervised spoken language understanding (SLU) via self-supervised speech and language model pretraining
Source code for ASRU 2019 paper "Adapting Pretrained Transformer to Lattices for Spoken Language Understanding"
A TensorFlow implement for "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".
Source code and data for the journal ``Dual learning for semi-supervised natural language understanding" in TASLP 2020.
"An Investigation of the Combination of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding", accepted at INTERSPEECH 2023.
🦁 BERT for Spoken Language Understanding in Task-based Dialog
Library for training visually-grounded models of spoken language understanding.
Code for the paper "Textual supervision for visually grounded spoken language understanding".
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