research
∙
06/13/2023
Speaker Verification Across Ages: Investigating Deep Speaker Embedding Sensitivity to Age Mismatch in Enrollment and Test Speech
In this paper, we study the impact of the ageing on modern deep speaker ...
share
research
∙
06/01/2023
Stuttering Detection Using Speaker Representations and Self-supervised Contextual Embeddings
The adoption of advanced deep learning architectures in stuttering detec...
research
∙
05/31/2023
How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning
Shortcut learning, or `Clever Hans effect` refers to situations where a ...
research
∙
05/30/2023
Towards single integrated spoofing-aware speaker verification embeddings
This study aims to develop a single integrated spoofing-aware speaker ve...
research
∙
03/02/2023
Speaker-Aware Anti-Spoofing
We address speaker-aware anti-spoofing, where prior knowledge of the tar...
research
∙
03/02/2023
Distilling Multi-Level X-vector Knowledge for Small-footprint Speaker Verification
Deep speaker models yield low error rates in speaker verification. Nonet...
research
∙
02/21/2023
Advancing Stuttering Detection via Data Augmentation, Class-Balanced Loss and Multi-Contextual Deep Learning
Stuttering is a neuro-developmental speech impairment characterized by u...
research
∙
02/10/2023
Cross-Corpora Spoken Language Identification with Domain Diversification and Generalization
This work addresses the cross-corpora generalization issue for the low-r...
research
∙
01/14/2023
Modulation spectral features for speech emotion recognition using deep neural networks
This work explores the use of constant-Q transform based modulation spec...
research
∙
11/30/2022
An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
Automatic spoken language identification (LID) is a very important resea...
research
∙
11/29/2022
Analysis of constant-Q filterbank based representations for speech emotion recognition
This work analyzes the constant-Q filterbank-based time-frequency repres...
research
∙
10/05/2022
ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild
Benchmarking initiatives support the meaningful comparison of competing ...
research
∙
08/05/2022
Robust Acoustic Domain Identification with its Application to Speaker Diarization
With the rise in multimedia content over the years, more variety is obse...
research
∙
07/20/2022
End-to-End and Self-Supervised Learning for ComParE 2022 Stuttering Sub-Challenge
In this paper, we present end-to-end and speech embedding based systems ...
research
∙
04/30/2022
Baselines and Protocols for Household Speaker Recognition
Speaker recognition on household devices, such as smart speakers, featur...
research
∙
04/21/2022
Baseline Systems for the First Spoofing-Aware Speaker Verification Challenge: Score and Embedding Fusion
Deep learning has brought impressive progress in the study of both autom...
research
∙
04/04/2022
Robust Stuttering Detection via Multi-task and Adversarial Learning
By automatic detection and identification of stuttering, speech patholog...
research
∙
04/04/2022
Introducing ECAPA-TDNN and Wav2Vec2.0 Embeddings to Stuttering Detection
The adoption of advanced deep learning (DL) architecture in stuttering d...
research
∙
03/21/2022
Spoofing-Aware Speaker Verification with Unsupervised Domain Adaptation
In this paper, we initiate the concern of enhancing the spoofing robustn...
research
∙
02/10/2022
Learnable Nonlinear Compression for Robust Speaker Verification
In this study, we focus on nonlinear compression methods in spectral fea...
research
∙
10/21/2021
Optimizing Multi-Taper Features for Deep Speaker Verification
Multi-taper estimators provide low-variance power spectrum estimates tha...
research
∙
09/24/2021
Optimized Power Normalized Cepstral Coefficients towards Robust Deep Speaker Verification
After their introduction to robust speech recognition, power normalized ...
research
∙
09/24/2021
Parameterized Channel Normalization for Far-field Deep Speaker Verification
We address far-field speaker verification with deep neural network (DNN)...
research
∙
09/01/2021
ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection
ASVspoof 2021 is the forth edition in the series of bi-annual challenges...
research
∙
09/01/2021
ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan
The automatic speaker verification spoofing and countermeasures (ASVspoo...
research
∙
09/01/2021
Benchmarking and challenges in security and privacy for voice biometrics
For many decades, research in speech technologies has focused upon impro...
research
∙
07/08/2021
Machine Learning for Stuttering Identification: Review, Challenges Future Directions
Stuttering is a speech disorder during which the flow of speech is inter...
research
∙
06/11/2021
Visualizing Classifier Adjacency Relations: A Case Study in Speaker Verification and Voice Anti-Spoofing
Whether it be for results summarization, or the analysis of classifier f...
research
∙
05/25/2021
Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework
The performance of speaker recognition system is highly dependent on the...
research
∙
05/12/2021
StutterNet: Stuttering Detection Using Time Delay Neural Network
This paper introduces StutterNet, a novel deep learning based stuttering...
research
∙
05/11/2021
Deep scattering network for speech emotion recognition
This paper introduces scattering transform for speech emotion recognitio...
research
∙
05/10/2021
Cross-Corpora Language Recognition: A Preliminary Investigation with Indian Languages
In this paper, we conduct one of the very first studies for cross-corpor...
research
∙
03/26/2021
Data Quality as Predictor of Voice Anti-Spoofing Generalization
Voice anti-spoofing aims at classifying a given speech input either as a...
research
∙
02/20/2021
Learnable MFCCs for Speaker Verification
We propose a learnable mel-frequency cepstral coefficient (MFCC) fronten...
research
∙
02/11/2021
ASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech
The ASVspoof initiative was conceived to spearhead research in anti-spoo...
research
∙
02/10/2021
ABSP System for The Third DIHARD Challenge
This report describes the speaker diarization system developed by the AB...
research
∙
02/08/2021
Non-linear frequency warping using constant-Q transformation for speech emotion recognition
In this work, we explore the constant-Q transform (CQT) for speech emoti...
research
∙
02/03/2021
Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification
In this paper, we propose a novel method that trains pass-phrase specifi...
research
∙
01/25/2021
Domain-Dependent Speaker Diarization for the Third DIHARD Challenge
This report presents the system developed by the ABSP Laboratory team fo...
research
∙
07/30/2020
A Comparative Re-Assessment of Feature Extractors for Deep Speaker Embeddings
Modern automatic speaker verification relies largely on deep neural netw...
research
∙
07/26/2020
UIAI System for Short-Duration Speaker Verification Challenge 2020
In this work, we present the system description of the UIAI entry for th...
research
∙
07/21/2020
Optimization of data-driven filterbank for automatic speaker verification
Most of the speech processing applications use triangular filters spaced...
research
∙
07/12/2020
Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals
Recent years have seen growing efforts to develop spoofing countermeasur...
research
∙
11/10/2019
Evaluating Voice Conversion-based Privacy Protection against Informed Attackers
Speech signals are a rich source of speaker-related information includin...
research
∙
11/06/2019
The Speed Submission to DIHARD II: Contributions Lessons Learned
This paper describes the speaker diarization systems developed for the S...
research
∙
11/05/2019
The ASVspoof 2019 database
Automatic speaker verification (ASV) is one of the most natural and conv...
research
∙
06/03/2019
Voice Mimicry Attacks Assisted by Automatic Speaker Verification
In this work, we simulate a scenario, where a publicly available ASV sys...
research
∙
04/16/2019
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
The I4U consortium was established to facilitate a joint entry to NIST s...
research
∙
04/09/2019
ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection
ASVspoof, now in its third edition, is a series of community-led challen...
research
∙
01/29/2019
