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Spoken Language Understanding

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하위 태스크: 2
평가표: 5
보존된 평가 기록: 36

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/alibaba-nlp/aishell-ner

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AISHELL-NER: Named Entity Recognition from Chinese Speech

https://github.com/alumae/torch-xvectors-wav

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VOXLINGUA107: A DATASET FOR SPOKEN LANGUAGE RECOGNITION

https://github.com/amazon-science/zero-shot-e2e-slu

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Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-Training

https://github.com/anhtunguyen98/bislu

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Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation

https://github.com/ankitapasad/layerwise-analysis

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Comparative layer-wise analysis of self-supervised speech models

https://github.com/anupsingh15/BEST-STD

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BEST-STD: Bidirectional Mamba-Enhanced Speech Tokenization for Spoken Term Detection

https://github.com/apple/dmel

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dMel: Speech Tokenization made Simple

https://github.com/asappresearch/slue-toolkit

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SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech

https://github.com/asappresearch/spoken-ner

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On the Use of External Data for Spoken Named Entity Recognition

https://github.com/ashi-ta/speechglue

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SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge?

https://github.com/bashlab/quads

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QUADS: QUAntized Distillation Framework for Efficient Speech Language Understanding

https://github.com/bhigy/textual-supervision

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Textual Supervision for Visually Grounded Spoken Language Understanding

https://github.com/bothe/EDAs

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EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators

https://github.com/bothe/dialogue-act-recognition

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Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs

https://github.com/briansidp/espnet

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End-to-end Spoken Language Understanding with Tree-constrained Pointer Generator

https://github.com/chiahsuan156/Spoken-SQuAD

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Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehension

https://github.com/clovaai/textual-kd-slu

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Two-stage Textual Knowledge Distillation for End-to-End Spoken Language Understanding

https://github.com/cpjku/efficientleaf

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EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use

https://github.com/cwang621/blsp

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BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing

https://github.com/declare-lab/segue

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Sentence Embedder Guided Utterance Encoder (SEGUE) for Spoken Language Understanding

https://github.com/digitalphonetics/multilingual-seq2seq-slu

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Leveraging Multilingual Self-Supervised Pretrained Models for Sequence-to-Sequence End-to-End Spoken Language Understanding

https://github.com/dingdongwang/mmsu_bench

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MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark

https://github.com/elianap/speechxai

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Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features

https://github.com/espnet/espnet

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ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet

https://github.com/espnet/espnet_onnx

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ESPnet-ONNX: Bridging a Gap Between Research and Production

https://github.com/facebookresearch/fairseq

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STOP: A dataset for Spoken Task Oriented Semantic Parsing

https://github.com/fdschmidt93/fleurs-slu

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Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding

https://github.com/hertin/wavprompt

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WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen Language Models

https://github.com/hlt-mt/speech-massive

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Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyond

https://github.com/idiap/slu_representations

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Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks

https://github.com/idiap/translation-aided-slu

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The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation

https://github.com/importpandas/mivs_birgat

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A BiRGAT Model for Multi-intent Spoken Language Understanding with Hierarchical Semantic Frames

https://github.com/jefflai108/Semi-Supervsied-Spoken-Language-Understanding-PyTorch

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Semi-Supervised Spoken Language Understanding via Self-Supervised Speech and Language Model Pretraining

https://github.com/jensen-w/retqa

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RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector

https://github.com/jensenw1/RETQA

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RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector

https://github.com/jgkimi/Decay-Function-Free-Time-Aware

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Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language Understanding

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