A PyTorch-based Speech Toolkit
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Updated
Jun 18, 2024 - Python
A PyTorch-based Speech Toolkit
End-to-End Speech Processing Toolkit
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!
On-device Speech-to-Intent engine powered by deep learning
Open source code and data for AAAI 2022 Oral Paper "Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding"
Spoken NER implementation based on Wav2Vec2-XLS-R with experiments on transfer learning
The open source codes for ICONIP 2023 Paper “A deep joint model of Multi-Scale intent-slots Interaction with Second-Order Gate for SLU”.
Real-time Spoken Language Understanding for Orthopedic Training in Virtual Reality
"An Investigation of the Combination of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding", accepted at INTERSPEECH 2023.
Learning a common representation space from speech and text for cross-modal retrieval given textual queries and speech files.
Source code for ACL 2020 paper "Learning Spoken Language Representations with Neural Lattice Language Modeling"
Dataset Release for Intent Classification from Speech
Library for training visually-grounded models of spoken language understanding.
cross-domain slot filling task with BERT
Open source code for EMNLP 2020 Findings Paper "AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling"
Code for the paper "Textual supervision for visually grounded spoken language understanding".
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
Source code and data for the journal ``Dual learning for semi-supervised natural language understanding" in TASLP 2020.
Semi-supervised spoken language understanding (SLU) via self-supervised speech and language model pretraining
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