research
∙
09/21/2023
Multi-Channel MOSRA: Mean Opinion Score and Room Acoustics Estimation Using Simulated Data and a Teacher Model
Previous methods for predicting room acoustic parameters and speech qual...
share
research
∙
09/21/2023
Cluster-based pruning techniques for audio data
Deep learning models have become widely adopted in various domains, but ...
research
∙
09/05/2023
In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms
The recent ubiquitous adoption of remote conferencing has been accompani...
research
∙
06/09/2023
Speaker Embeddings as Individuality Proxy for Voice Stress Detection
Since the mental states of the speaker modulate speech, stress introduce...
research
∙
03/01/2023
Personalized Task Load Prediction in Speech Communication
Estimating the quality of remote speech communication is a complex task ...
research
∙
12/06/2022
BC-VAD: A Robust Bone Conduction Voice Activity Detection
Voice Activity Detection (VAD) is a fundamental module in many audio app...
research
∙
11/12/2022
Efficient Speech Quality Assessment using Self-supervised Framewise Embeddings
Automatic speech quality assessment is essential for audio researchers, ...
research
∙
06/24/2022
BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping
Methods for extracting audio and speech features have been studied since...
research
∙
04/04/2022
MOSRA: Joint Mean Opinion Score and Room Acoustics Speech Quality Assessment
The acoustic environment can degrade speech quality during communication...
research
∙
03/30/2022
Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load
As a neurophysiological response to threat or adverse conditions, stress...
research
∙
11/12/2021
AC-VC: Non-parallel Low Latency Phonetic Posteriorgrams Based Voice Conversion
This paper presents AC-VC (Almost Causal Voice Conversion), a phonetic p...
research
∙
10/07/2021
Power efficient analog features for audio recognition
The digital signal processing-based representations like the Mel-Frequen...
research
∙
10/07/2021
SERAB: A multi-lingual benchmark for speech emotion recognition
Recent developments in speech emotion recognition (SER) often leverage d...
research
∙
09/29/2021
A Universal Deep Room Acoustics Estimator
Speech audio quality is subject to degradation caused by an acoustic env...
research
∙
10/21/2020
Joint Blind Room Acoustic Characterization From Speech And Music Signals Using Convolutional Recurrent Neural Networks
Acoustic environment characterization opens doors for sound reproduction...
research
∙
10/19/2020
Fast accuracy estimation of deep learning based multi-class musical source separation
Music source separation represents the task of extracting all the instru...
research
∙
10/08/2020
FastVC: Fast Voice Conversion with non-parallel data
This paper introduces FastVC, an end-to-end model for fast Voice Convers...
research
∙
10/28/2019
A Bin Encoding Training of a Spiking Neural Network-based Voice Activity Detection
Advances of deep learning for Artificial Neural Networks(ANNs) have led ...
research
∙
10/22/2019
Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection
Recent advances in Voice Activity Detection (VAD) are driven by artifici...
research
∙
10/22/2019
Speech-VGG: A deep feature extractor for speech processing
A growing number of studies in the field of speech processing employ fea...
research
∙
10/20/2019
Deep speech inpainting of time-frequency masks
In particularly noisy environments, transient loud intrusions can comple...
research
∙
04/15/2016
Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding
Most current very low bit rate (VLBR) speech coding systems use hidden M...
research
∙
01/22/2016
Speech vocoding for laboratory phonology
Using phonological speech vocoding, we propose a platform for exploring ...
research
∙
01/21/2016