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Voice Analysis to Differentiate the Dopaminergic Response in People With Parkinson's Disease

Frontiers in human neuroscience, 2021-05, Vol.15, p.667997-667997

2021

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SERAB: A Multi-Lingual Benchmark for Speech Emotion Recognition

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.7697-7701

2022

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Nasal Speech Sounds Detection Using Connectionist Temporal Classification

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.5574-5578

2018

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A Universal Deep Room Acoustics Estimator

2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021, p.356-360

2021

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A Bin Encoding Training of a Spiking Neural Network Based Voice Activity Detection

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.3207-3211

2020

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Spiking Neural Networks Trained With Backpropagation for Low Power Neuromorphic Implementation of Voice Activity Detection

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.8544-8548

2020

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Fast accuracy estimation of deep learning based multi-class musical source separation

Proceedings of the Northern Lights Deep Learning Workshop, 2022-03, Vol.3

2022

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Multi-Channel Mosra: Mean Opinion Score and Room Acoustics Estimation Using Simulated Data and A Teacher Model

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.381-385

2024

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Characterisation of voice quality of Parkinson’s disease using differential phonological posterior features

Computer speech & language, 2017-11, Vol.46, p.196-208

2017

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A Simple Continuous Pitch Estimation Algorithm

IEEE signal processing letters, 2013-01, Vol.20 (1), p.102-105

2013

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On structured sparsity of phonological posteriors for linguistic parsing

Speech communication, 2016-11, Vol.84, p.36-45

2016

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On Real-Time Multi-Stage Speech Enhancement Systems

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.10241-10245

2024

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Perceptual Information Loss due to Impaired Speech Production

IEEE/ACM transactions on audio, speech, and language processing, 2017-12, Vol.25 (12), p.2433-2443

2017

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Personalized Task Load Prediction in Speech Communication

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Efficient Speech Quality Assessment Using Self-Supervised Framewise Embeddings

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding

IEEE/ACM transactions on audio, speech, and language processing, 2016-12, Vol.24 (12), p.2301-2312

2016

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Incremental Syllable-Context Phonetic Vocoding

IEEE/ACM transactions on audio, speech, and language processing, 2015-06, Vol.23 (6), p.1019-1030

2015

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Phonological vocoding using artificial neural networks

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, p.4844-4848

2015

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On the (UN)importance of the contextual factors in HMM-based speech synthesis and coding

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.8140-8143

2013

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AC-VC: Non-Parallel Low Latency Phonetic Posteriorgrams Based Voice Conversion

2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2021, p.710-716

2021

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Speech vocoding for laboratory phonology

Computer speech & language, 2017-03, Vol.42, p.100-121

2017

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Residual-Based Excitation with Continuous F0 Modeling in HMM-Based Speech Synthesis

Statistical Language and Speech Processing, 2015, Vol.9449, p.27-38

2015

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Voice Presentation Attack Detection Using Convolutional Neural Networks

Handbook of Biometric Anti-Spoofing, 2019, p.391-415

2019

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Word-Level Embeddings for Cross-Task Transfer Learning in Speech Processing

2021 29th European Signal Processing Conference (EUSIPCO), 2021, p.446-450

2021

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In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms

Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023, p.1-12

2023

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Voice Analysis to Differentiate the Dopaminergic Response in People With Parkinson's Disease

SERAB: A Multi-Lingual Benchmark for Speech Emotion Recognition

Nasal Speech Sounds Detection Using Connectionist Temporal Classification

A Universal Deep Room Acoustics Estimator

A Bin Encoding Training of a Spiking Neural Network Based Voice Activity Detection

Spiking Neural Networks Trained With Backpropagation for Low Power Neuromorphic Implementation of Voice Activity Detection

Fast accuracy estimation of deep learning based multi-class musical source separation

Multi-Channel Mosra: Mean Opinion Score and Room Acoustics Estimation Using Simulated Data and A Teacher Model

Characterisation of voice quality of Parkinson’s disease using differential phonological posterior features

A Simple Continuous Pitch Estimation Algorithm

On structured sparsity of phonological posteriors for linguistic parsing

On Real-Time Multi-Stage Speech Enhancement Systems

Perceptual Information Loss due to Impaired Speech Production

Personalized Task Load Prediction in Speech Communication

Efficient Speech Quality Assessment Using Self-Supervised Framewise Embeddings

Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding

Incremental Syllable-Context Phonetic Vocoding

Phonological vocoding using artificial neural networks

On the (UN)importance of the contextual factors in HMM-based speech synthesis and coding

AC-VC: Non-Parallel Low Latency Phonetic Posteriorgrams Based Voice Conversion

Speech vocoding for laboratory phonology

Residual-Based Excitation with Continuous F0 Modeling in HMM-Based Speech Synthesis

Voice Presentation Attack Detection Using Convolutional Neural Networks

Word-Level Embeddings for Cross-Task Transfer Learning in Speech Processing

In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms

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