dialogue-understanding

Spoken Language Understanding

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

These leaderboards are used to track progress in dialogue-understanding

Trend

Dataset

Best Model

Actions

Fluent Speech Commands

Snips-SmartLights

Snips-SmartSpeaker

Libraries

i

Use these libraries to find dialogue-understanding models and implementations

espnet/espnet

5 papers 7,405

Datasets

SLURP

Fluent Speech Commands

Dialogue State Tracking Challenge

Spoken-SQuAD

xSID

Snips-SmartLights

Subtasks

Spoken language identification

Most implemented papers

Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces

A. Coucke, Alaa Saade, Adrien Ball, Théodore Bluche, A. Caulier, David Leroy, Clément Doumouro, Thibault Gisselbrecht, F. Caltagirone, Thibaut Lavril, Maël Primet, J. Dureau•Thu May 24 2018

The machine learning architecture of the Snips Voice Platform is presented, a software solution to perform Spoken Language Understanding on microprocessors typical of IoT devices that is fast and accurate while enforcing privacy by design, as no personal user data is ever collected.

Content

Snips-SmartSpeaker

Spoken-SQuAD

Timers and Such

CoraJung/flexible-input-slu

3 papers 10

alibaba-damo-academy/FunASR

2 papers 1,438

pswietojanski/slurp

2 papers 84

MEDIA

888 0

SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering

Xuedong Huang, Michael Zeng, Chenguang Zhu•Sun Dec 09 2018

An innovated contextualized attention-based deep neural network, SDNet, to fuse context into traditional MRC models, which leverages both inter-attention and self-att attention to comprehend conversation context and extract relevant information from passage.

131 0

Paper Graph

Spoken Language Understanding on the Edge

A. Coucke, Alaa Saade, Adrien Ball, Théodore Bluche, A. Caulier, David Leroy, Clément Doumouro, Thibault Gisselbrecht, F. Caltagirone, Thibaut Lavril, Maël Primet, J. Dureau•Mon Oct 29 2018

The design of an embedded, private-by-design SLU system is outlined and it is shown that it has performance on-par with cloud-based commercial solutions.

68 0

Paper Graph

Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding

Shinji Watanabe, Siddharth Dalmia, Yifan Peng, Ian Lane•Tue Jul 05 2022

This work proposes a more flexible, interpretable and customizable encoder alternative, Branchformer, with parallel branches for modeling various ranged dependencies in end-to-end speech processing, including the ability to have variable inference complexity in a single trained model.

194 0

Paper Graph

SpeechBrain: A General-Purpose Speech Toolkit

Yoshua Bengio, M. Ravanelli, Samuele Cornell, Jianyuan Zhong, Cem Subakan, Szu-Wei Fu, Loren Lugosch, A. Heba, Titouan Parcollet, Ju-Chieh Chou, Peter William VanHarn Plantinga, Aku Rouhe, Nauman Dawalatabad, Sung-Lin Yeh, Chien-Feng Liao, Elena Rastorgueva, Franccois Grondin, William Aris, Hwidong Na, Yan Gao, R. Mori•Mon Jun 07 2021

The core architecture of SpeechBrain is described, designed to support several tasks of common interest, allowing users to naturally conceive, compare and share novel speech processing pipelines.

916 0

Paper Graph

Slot-Gated Modeling for Joint Slot Filling and Intent Prediction

Yun-Nung (Vivian) Chen, Chih-Wen Goo, Guang-Lai Gao, Yun-Kai Hsu, Chih-Li Huo, Tsung-Chieh Chen, Keng-Wei Hsu•Thu May 31 2018

A slot gate that focuses on learning the relationship between intent and slot attention vectors in order to obtain better semantic frame results by the global optimization is proposed.

500 0

Paper Graph

CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding

Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu, Yijin Liu, Jinchao Zhang•Sun Sep 15 2019

A novel Collaborative Memory Network (CM-Net) based on the well-designed block, named CM-block, which achieves the state-of-the-art results on the ATIS and SNIPS in most of criteria, and significantly outperforms the baseline models on the CAIS.

86 0

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A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling

H. E, Peiqing Niu, Zhongfu Chen, Meina Song•Sat Jun 29 2019

A novel bi-directional interrelated model for joint intent detection and slot filling is proposed and an SF-ID network is introduced to establish direct connections for the two tasks to help them promote each other mutually.

266 0

Paper Graph

A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding

Ting Liu, Wanxiang Che, Haoyang Wen, Yangming Li•Sat Aug 31 2019

A novel framework for SLU to better incorporate the intent information, which further guiding the slot filling is proposed, which achieves the state-of-the-art performance and outperforms other previous methods by a large margin.

287 0

Paper Graph

Using Speech Synthesis to Train End-To-End Spoken Language Understanding Models

M. Ravanelli, D. Nowrouzezahrai, Loren Lugosch, B. Meyer•Sun Oct 20 2019

This work proposes a strategy to overcome this requirement in which speech synthesis is used to generate a large synthetic training dataset from several artificial speakers, and confirms the effectiveness of this approach with experiments on two open-source SLU datasets.

39 0

Paper Graph

Adding a benchmark result helps the community track progress.