research
∙
09/16/2023
Boosting End-to-End Multilingual Phoneme Recognition through Exploiting Universal Speech Attributes Constraints
We propose a first step toward multilingual end-to-end automatic speech ...
share
research
∙
09/15/2023
The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction
Previous Multimodal Information based Speech Processing (MISP) challenge...
research
∙
07/06/2023
How word semantics and phonology affect handwriting of Alzheimer's patients: a machine learning based analysis
Using kinematic properties of handwriting to support the diagnosis of ne...
research
∙
06/01/2023
A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models
We propose a multi-dimensional structured state space (S4) approach to s...
research
∙
05/19/2023
Differentially Private Adapters for Parameter Efficient Acoustic Modeling
In this work, we devise a parameter-efficient solution to bring differen...
research
∙
11/02/2022
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition
We propose a quantum kernel learning (QKL) framework to address the inhe...
research
∙
11/02/2022
Inference and Denoise: Causal Inference-based Neural Speech Enhancement
This study addresses the speech enhancement (SE) task within the causal ...
research
∙
10/12/2022
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition
We propose an ensemble learning framework with Poisson sub-sampling to e...
research
∙
10/11/2022
An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition
Differential privacy (DP) is one data protection avenue to safeguard use...
research
∙
03/07/2022
A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification
In this paper, we propose two techniques, namely joint modeling and data...
research
∙
10/16/2021
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer
We propose a variational Bayesian (VB) approach to learning distribution...
research
∙
10/08/2021
A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming
In this study, we propose a novel adversarial reprogramming (AR) approac...
research
∙
07/03/2021
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification
We propose a novel neural model compression strategy combining data augm...
research
∙
04/02/2021
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification
We propose using an adversarial autoencoder (AAE) to replace generative ...
research
∙
11/03/2020
A Two-Stage Approach to Device-Robust Acoustic Scene Classification
To improve device robustness, a highly desirable key feature of a compet...
research
∙
10/26/2020
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition
We propose a novel decentralized feature extraction approach in federate...
research
∙
08/12/2020
On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression
In this paper, we exploit the properties of mean absolute error (MAE) as...
research
∙
08/04/2020
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression
In this paper, we show that, in vector-to-vector regression utilizing de...
research
∙
07/31/2020
Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification
In this paper, we propose a domain adaptation framework to address the d...
research
∙
07/31/2020
An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances
In this paper, we propose a sub-utterance unit selection framework to re...
research
∙
07/25/2020
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement
This paper investigates different trade-offs between the number of model...
research
∙
07/16/2020
Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation
In this technical report, we present a joint effort of four groups, name...
research
∙
02/03/2020
Tensor-to-Vector Regression for Multi-channel Speech Enhancement based on Tensor-Train Network
We propose a tensor-to-vector regression approach to multi-channel speec...
research
∙
03/06/2015
