There are 1 repository under spoken-language-understanding topic.
A PyTorch-based Speech Toolkit
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
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!
Open source code for EMNLP-19 Paper "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".
ODSQA: OPEN-DOMAIN SPOKEN QUESTION ANSWERING DATASET
槽填充、意图预测(口语理解)论文整理和中文翻译。Slot filling and intent prediction paper collation and Chinese translation.
Dataset Release for Intent Classification from Speech
A spoken question answering dataset on SQUAD
real time japanese speech recognition translator using wav2vec2
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
Spoken Language Understanding(SLU)/Slot Filling(语义槽填充) in PyTorch
Dataset Release for Phone Number Entity capture task
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.
This repository is a comprehensive project that leverages the XLM-Roberta model for intent detection. This repository is a valuable resource for developers looking to build and fine-tune intent detection models based on state-of-the-art techniques.
"An Investigation of the Combination of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding", accepted at INTERSPEECH 2023.
:lion: 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".
Official repository of the SUGAR Task at Evalita 2018
cross-domain slot filling task with BERT
The open source codes for ICONIP 2023 Paper “A deep joint model of Multi-Scale intent-slots Interaction with Second-Order Gate for SLU”.
Learning a common representation space from speech and text for cross-modal retrieval given textual queries and speech files.
Spoken NER implementation based on Wav2Vec2-XLS-R with experiments on transfer learning
Real-time Spoken Language Understanding for Orthopedic Training in Virtual Reality
Memory consolidation for Contextual SLU with Multi-task Framework