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Speaker adaptive training of deep neural network acoustic models using i-vectors

IEEE/ACM transactions on audio, speech, and language processing, 2015-11, Vol.23 (11), p.1938-1949

2015

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Extracting deep bottleneck features using stacked auto-encoders

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.3377-3381

2013

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Sequence-Based Multi-Lingual Low Resource Speech Recognition

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.4909-4913

2018

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Anger recognition in speech using acoustic and linguistic cues

Speech communication, 2011-12, Vol.53 (9), p.1198-1209

2011

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EESEN: End-to-end speech recognition using deep RNN models and WFST-based decoding

2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2015, p.167-174

2015

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Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS-The Heart Sounds Shenzhen Corpus

IEEE journal of biomedical and health informatics, 2020-07, Vol.24 (7), p.2082-2092

2020

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A Comparison of Five Multiple Instance Learning Pooling Functions for Sound Event Detection with Weak Labeling

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.31-35

2019

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Linguistic Unit Discovery from Multi-Modal Inputs in Unwritten Languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.4979-4983

2018

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New Era for Robust Speech Recognition: Exploiting Deep Learning

1st ed. 2017 edition., 2017

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Connectionist Temporal Localization for Sound Event Detection with Sequential Labeling

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.745-749

2019

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Transfer learning for multimodal dialog

Computer speech & language, 2020-11, Vol.64, p.101093, Article 101093

2020

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End-to-end Multimodal Speech Recognition

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.5774-5778

2018

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How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.2734-2743

2021

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ASR Error Correction and Domain Adaptation Using Machine Translation

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.6344-6348

2020

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A comparison of Deep Learning methods for environmental sound detection

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.126-130

2017

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Deep maxout networks for low-resource speech recognition

2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013, p.398-403

2013

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A first attempt at polyphonic sound event detection using connectionist temporal classification

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.2986-2990

2017

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Universal Phone Recognition with a Multilingual Allophone System

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.8249-8253

2020

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Learned in Speech Recognition: Contextual Acoustic Word Embeddings

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.6530-6534

2019

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Looking Enhances Listening: Recovering Missing Speech Using Images

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.6304-6308

2020

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Enabling the Rapid Development and Adoption of Speech-User Interfaces

Computer (Long Beach, Calif.), 2014-01, Vol.47 (1), p.40-47

2014

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Audio-based multimedia event detection using deep recurrent neural networks

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.2742-2746

2016

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Modeling early phonetic acquisition from child-centered audio data

Cognition, 2024-04, Vol.245, p.105734-105734, Article 105734

2024

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Visual features for context-aware speech recognition

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.5020-5024

2017

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Self-supervised object detection from audio-visual correspondence

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.10565-10576

2022

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Speaker adaptive training of deep neural network acoustic models using i-vectors

Extracting deep bottleneck features using stacked auto-encoders

Sequence-Based Multi-Lingual Low Resource Speech Recognition

Anger recognition in speech using acoustic and linguistic cues

EESEN: End-to-end speech recognition using deep RNN models and WFST-based decoding

Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS-The Heart Sounds Shenzhen Corpus

A Comparison of Five Multiple Instance Learning Pooling Functions for Sound Event Detection with Weak Labeling

Linguistic Unit Discovery from Multi-Modal Inputs in Unwritten Languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop

New Era for Robust Speech Recognition: Exploiting Deep Learning

Connectionist Temporal Localization for Sound Event Detection with Sequential Labeling

Transfer learning for multimodal dialog

End-to-end Multimodal Speech Recognition

How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language

ASR Error Correction and Domain Adaptation Using Machine Translation

A comparison of Deep Learning methods for environmental sound detection

Deep maxout networks for low-resource speech recognition

A first attempt at polyphonic sound event detection using connectionist temporal classification

Universal Phone Recognition with a Multilingual Allophone System

Learned in Speech Recognition: Contextual Acoustic Word Embeddings

Looking Enhances Listening: Recovering Missing Speech Using Images

Enabling the Rapid Development and Adoption of Speech-User Interfaces

Audio-based multimedia event detection using deep recurrent neural networks

Modeling early phonetic acquisition from child-centered audio data

Visual features for context-aware speech recognition

Self-supervised object detection from audio-visual correspondence

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