research
∙
05/19/2023
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation
Transformer-based speech self-supervised learning (SSL) models, such as ...
share
research
∙
10/26/2022
Deep Metric Learning with Adaptive Margin and Adaptive Scale for Acoustic Word Discrimination
Many recent loss functions in deep metric learning are expressed with lo...
research
∙
07/01/2022
FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Learning
Large-scale speech self-supervised learning (SSL) has emerged to the mai...
research
∙
04/04/2022
Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck
Recent advances in sophisticated synthetic speech generated from text-to...
research
∙
03/30/2022
Asymmetric Proxy Loss for Multi-View Acoustic Word Embeddings
Acoustic word embeddings (AWEs) are discriminative representations of sp...
research
∙
11/10/2020
Supervised attention for speaker recognition
The recently proposed self-attentive pooling (SAP) has shown good perfor...
research
∙
11/02/2020
Perceptually Guided End-to-End Text-to-Speech
Several fast text-to-speech (TTS) models have been proposed for real-tim...
research
∙
10/06/2020
A Unified Deep Learning Framework for Short-Duration Speaker Verification in Adverse Environments
Speaker verification (SV) has recently attracted considerable research i...
research
∙
08/09/2020
Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling
While deep learning has made impressive progress in speech synthesis and...
research
∙
07/16/2020
Neural MOS Prediction for Synthesized Speech Using Multi-Task Learning With Spoofing Detection and Spoofing Type Classification
Several papers have proposed deep-learning-based models to predict the m...
research
∙
06/12/2020
Neural voice cloning with a few low-quality samples
In this paper, we explore the possibility of speech synthesis from low q...
research
∙
05/21/2020
Pitchtron: Towards audiobook generation from ordinary people's voices
In this paper, we explore prosody transfer for audiobook generation unde...
research
∙
05/08/2020
Multi-Task Network for Noise-Robust Keyword Spotting and Speaker Verification using CTC-based Soft VAD and Global Query Attention
Keyword spotting (KWS) and speaker verification (SV) have been studied i...
research
∙
04/07/2020
Improving Multi-Scale Aggregation Using Feature Pyramid Module for Robust Speaker Verification of Variable-Duration Utterances
Currently, the most widely used approach for speaker verification is the...
research
∙
04/07/2020
Multi-Scale Aggregation Using Feature Pyramid Module for Text-Independent Speaker Verification
Currently, the most widely used approach for speaker verification is the...
research
∙
04/06/2020
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs
In realistic settings, a speaker recognition system needs to identify a ...
research
∙
02/27/2020
Transductive Few-shot Learning with Meta-Learned Confidence
We propose a novel transductive inference framework for metric-based met...
research
∙
10/01/2019
Additional Shared Decoder on Siamese Multi-view Encoders for Learning Acoustic Word Embeddings
Acoustic word embeddings — fixed-dimensional vector representations of a...
research
∙
09/26/2019
Self-Adaptive Soft Voice Activity Detection using Deep Neural Networks for Robust Speaker Verification
Voice activity detection (VAD), which classifies frames as speech or non...
research
∙
06/19/2019
Spatial Pyramid Encoding with Convex Length Normalization for Text-Independent Speaker Verification
In this paper, we propose a new pooling method called spatial pyramid en...
research
∙
11/07/2018
