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09/18/2023
Are Soft Prompts Good Zero-shot Learners for Speech Recognition?
Large self-supervised pre-trained speech models require computationally ...
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09/14/2023
Codec Data Augmentation for Time-domain Heart Sound Classification
Heart auscultations are a low-cost and effective way of detecting valvul...
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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...
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05/02/2023
Contrastive Speech Mixup for Low-resource Keyword Spotting
Most of the existing neural-based models for keyword spotting (KWS) in s...
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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...
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02/19/2023
Probabilistic Back-ends for Online Speaker Recognition and Clustering
This paper focuses on multi-enrollment speaker recognition which natural...
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11/03/2022
The ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC): Dataset, Tracks, Baseline and Results
This paper summarizes the outcomes from the ISCSLP 2022 Intelligent Cock...
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11/01/2022
Speech-text based multi-modal training with bidirectional attention for improved speech recognition
To let the state-of-the-art end-to-end ASR model enjoy data efficiency, ...
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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 ...
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07/15/2022
Continual Learning For On-Device Environmental Sound Classification
Continuously learning new classes without catastrophic forgetting is a c...
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07/09/2022
Intermediate-layer output Regularization for Attention-based Speech Recognition with Shared Decoder
Intermediate layer output (ILO) regularization by means of multitask tra...
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07/09/2022
Internal Language Model Estimation based Language Model Fusion for Cross-Domain Code-Switching Speech Recognition
Internal Language Model Estimation (ILME) based language model (LM) fusi...
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06/29/2022
Language-Based Audio Retrieval with Converging Tied Layers and Contrastive Loss
In this paper, we tackle the new Language-Based Audio Retrieval task pro...
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04/11/2022
Small Footprint Multi-channel ConvMixer for Keyword Spotting with Centroid Based Awareness
It is critical for a keyword spotting model to have a small footprint as...
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03/30/2022
Rainbow Keywords: Efficient Incremental Learning for Online Spoken Keyword Spotting
Catastrophic forgetting is a thorny challenge when updating keyword spot...
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02/21/2022
L-SpEx: Localized Target Speaker Extraction
Speaker extraction aims to extract the target speaker's voice from a mul...
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01/15/2022
ConvMixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-field Keyword Spotting
Building efficient architecture in neural speech processing is paramount...
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10/16/2021
A Unified Speaker Adaptation Approach for ASR
Transformer models have been used in automatic speech recognition (ASR) ...
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07/22/2021
Multitask-Based Joint Learning Approach To Robust ASR For Radio Communication Speech
To realize robust end-to-end Automatic Speech Recognition(E2E ASR) under...
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01/13/2021
End-to-End Speaker Height and age estimation using Attention Mechanism with LSTM-RNN
Automatic height and age estimation of speakers using acoustic features ...
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11/19/2020
Multi-stage Speaker Extraction with Utterance and Frame-Level Reference Signals
Speaker extraction uses a pre-recorded reference speech as the reference...
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10/23/2020
Enriching Under-Represented Named-Entities To Improve Speech Recognition Performance
Automatic speech recognition (ASR) for under-represented named-entity (U...
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10/22/2020
A multilingual approach to joint Speech and Accent Recognition with DNN-HMM framework
Human can perform multi-task recognition from speech. For instance, huma...
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09/24/2020
Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences
Domain adaptation or transfer learning using pre-trained language models...
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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...
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05/18/2020
Approaches to Improving Recognition of Underrepresented Named Entities in Hybrid ASR Systems
In this paper, we present a series of complementary approaches to improv...
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05/10/2020
SpEx+: A Complete Time Domain Speaker Extraction Network
Speaker extraction aims to extract the target speech signal from a multi...
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04/29/2020
Time-domain speaker extraction network
Speaker extraction is to extract a target speaker's voice from multi-tal...
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04/17/2020
SpEx: Multi-Scale Time Domain Speaker Extraction Network
Speaker extraction aims to mimic humans' selective auditory attention by...
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11/25/2019
Independent language modeling architecture for end-to-end ASR
The attention-based end-to-end (E2E) automatic speech recognition (ASR) ...
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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...
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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...
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04/08/2019
Enriching Rare Word Representations in Neural Language Models by Embedding Matrix Augmentation
The neural language models (NLM) achieve strong generalization capabilit...
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03/24/2019
Optimization of Speaker Extraction Neural Network with Magnitude and Temporal Spectrum Approximation Loss
The SpeakerBeam-FE (SBF) method is proposed for speaker extraction. It a...
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02/11/2019
A Vocoder-free WaveNet Voice Conversion with Non-Parallel Data
In a typical voice conversion system, vocoder is commonly used for speec...
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02/07/2019
Target Speaker Extraction for Overlapped Multi-Talker Speaker Verification
The performance of speaker verification degrades significantly when the ...
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11/01/2018
On the End-to-End Solution to Mandarin-English Code-switching Speech Recognition
Code-switching (CS) refers to a linguistic phenomenon where a speaker us...
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06/27/2018
Unsupervised and Efficient Vocabulary Expansion for Recurrent Neural Network Language Models in ASR
In automatic speech recognition (ASR) systems, recurrent neural network ...
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06/16/2018
