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#

spoken-language-understanding

Here are 48 public repositories matching this topic...

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!

  • UpdatedMay 5, 2025
  • Python

Slot-Gated Modeling for Joint Slot Filling and Intent Prediction

  • UpdatedApr 6, 2021
  • Python

Open source code for EMNLP-19 Paper "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".

  • UpdatedFeb 23, 2021
  • Python

Open source code for EMNLP 2020 Findings Paper "AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling"

  • UpdatedDec 17, 2021
  • Python

Sylber: Syllabic Embedding Representation of Speech from Raw Audio

  • UpdatedMar 17, 2025
  • Jupyter Notebook

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.

  • UpdatedJun 17, 2019

Dataset Release for Intent Classification from Speech

  • UpdatedFeb 23, 2025
  • Python

Open source code and data for AAAI 2022 Oral Paper "Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding"

  • UpdatedMay 26, 2024
  • Python

EMNLP-2020: Cross-lingual Spoken Language Understanding with Regularized Representation Alignment

  • UpdatedNov 21, 2020
  • Python

Source code for ACL 2020 paper "Learning Spoken Language Representations with Neural Lattice Language Modeling"

  • UpdatedFeb 11, 2023
  • Python

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.

  • UpdatedFeb 2, 2024
  • Jupyter Notebook

Spoken Language Understanding(SLU)/Slot Filling(语义槽填充) in PyTorch

  • UpdatedMay 22, 2018
  • Perl

FastLongSpeech is a novel framework designed to extend the capabilities of Large Speech-Language Models for efficient long-speech processing without necessitating dedicated long-speech training data.

  • UpdatedJul 22, 2025
  • Python

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