research
∙
09/18/2023
Are Soft Prompts Good Zero-shot Learners for Speech Recognition?
Large self-supervised pre-trained speech models require computationally ...
share
research
∙
09/14/2023
Analysis of Speech Separation Performance Degradation on Emotional Speech Mixtures
Despite recent strides made in Speech Separation, most models are traine...
research
∙
08/14/2023
Orthogonal Temporal Interpolation for Zero-Shot Video Recognition
Zero-shot video recognition (ZSVR) is a task that aims to recognize vide...
research
∙
05/20/2023
ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention
In this paper, we propose ACA-Net, a lightweight, global context-aware s...
research
∙
05/02/2023
Contrastive Speech Mixup for Low-resource Keyword Spotting
Most of the existing neural-based models for keyword spotting (KWS) in s...
research
∙
03/08/2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples
The vulnerability of Deep Neural Networks (DNNs) to adversarial examples...
research
∙
03/07/2023
Adaptive Knowledge Distillation between Text and Speech Pre-trained Models
Learning on a massive amount of speech corpus leads to the recent succes...
research
∙
02/28/2023
deHuBERT: Disentangling Noise in a Self-supervised Model for Robust Speech Recognition
Existing self-supervised pre-trained speech models have offered an effec...
research
∙
02/23/2023
D2Former: A Fully Complex Dual-Path Dual-Decoder Conformer Network using Joint Complex Masking and Complex Spectral Mapping for Monaural Speech Enhancement
Monaural speech enhancement has been widely studied using real networks ...
research
∙
02/23/2023
MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions
Transformer based models have provided significant performance improveme...
research
∙
09/14/2022
I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra Contrastive Regularization
Noise robustness in keyword spotting remains a challenge as many models ...
research
∙
06/15/2022
FRCRN: Boosting Feature Representation using Frequency Recurrence for Monaural Speech Enhancement
Convolutional recurrent networks (CRN) integrating a convolutional encod...
research
∙
06/02/2022
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization
Learning individual-level treatment effect is a fundamental problem in c...
research
∙
02/08/2022
Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge
The ICASSP 2022 Multi-channel Multi-party Meeting Transcription Grand Ch...
research
∙
11/01/2021
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching
Digital advertising is a critical part of many e-commerce platforms such...
research
∙
10/16/2021
A Unified Speaker Adaptation Approach for ASR
Transformer models have been used in automatic speech recognition (ASR) ...
research
∙
10/14/2021
M2MeT: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge
Recent development of speech signal processing, such as speech recogniti...
research
∙
10/02/2021
End-to-End Complex-Valued Multidilated Convolutional Neural Network for Joint Acoustic Echo Cancellation and Noise Suppression
Echo and noise suppression is an integral part of a full-duplex communic...
research
∙
02/03/2021
Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses
Deep complex U-Net structure and convolutional recurrent network (CRN) s...
research
∙
02/03/2021
Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram
Cross-lingual voice conversion (VC) is an important and challenging prob...
research
∙
10/16/2020
Towards Natural Bilingual and Code-Switched Speech Synthesis Based on Mix of Monolingual Recordings and Cross-Lingual Voice Conversion
Recent state-of-the-art neural text-to-speech (TTS) synthesis models hav...
research
∙
05/21/2020
Leveraging Text Data Using Hybrid Transformer-LSTM Based End-to-End ASR in Transfer Learning
In this work, we study leveraging extra text data to improve low-resourc...
research
∙
11/25/2019
Independent language modeling architecture for end-to-end ASR
The attention-based end-to-end (E2E) automatic speech recognition (ASR) ...
research
∙
04/08/2019
Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data
The lack of code-switch training data is one of the major concerns in th...
research
∙
01/02/2019
Flow Based Self-supervised Pixel Embedding for Image Segmentation
We propose a new self-supervised approach to image feature learning from...
research
∙
06/10/2018
Learning Acoustic Word Embeddings with Temporal Context for Query-by-Example Speech Search
We propose to learn acoustic word embeddings with temporal context for q...
research
∙
02/05/2016
Fantastic 4 system for NIST 2015 Language Recognition Evaluation
This article describes the systems jointly submitted by Institute for In...
research
∙
11/20/2001