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09/01/2023
Learning Speech Representation From Contrastive Token-Acoustic Pretraining
For fine-grained generation and recognition tasks such as minimally-supe...
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07/28/2023
Minimally-Supervised Speech Synthesis with Conditional Diffusion Model and Language Model: A Comparative Study of Semantic Coding
Recently, there has been a growing interest in text-to-speech (TTS) meth...
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06/05/2023
Rethinking the visual cues in audio-visual speaker extraction
The Audio-Visual Speaker Extraction (AVSE) algorithm employs parallel vi...
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05/29/2023
speech and noise dual-stream spectrogram refine network with speech distortion loss for robust speech recognition
In recent years, the joint training of speech enhancement front-end and ...
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03/26/2023
Time-domain Speech Enhancement Assisted by Multi-resolution Frequency Encoder and Decoder
Time-domain speech enhancement (SE) has recently been intensively invest...
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12/07/2022
MIMO-DBnet: Multi-channel Input and Multiple Outputs DOA-aware Beamforming Network for Speech Separation
Recently, many deep learning based beamformers have been proposed for mu...
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11/02/2022
Monolingual Recognizers Fusion for Code-switching Speech Recognition
The bi-encoder structure has been intensively investigated in code-switc...
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10/09/2022
VCSE: Time-Domain Visual-Contextual Speaker Extraction Network
Speaker extraction seeks to extract the target speech in a multi-talker ...
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07/15/2022
MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources
Recent neural network based Direction of Arrival (DoA) estimation algori...
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06/29/2022
Language-specific Characteristic Assistance for Code-switching Speech Recognition
Dual-encoder structure successfully utilizes two language-specific encod...
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06/24/2022
Iterative Sound Source Localization for Unknown Number of Sources
Sound source localization aims to seek the direction of arrival (DOA) of...
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04/30/2022
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning
Heterogeneous graph neural network (HGNN) is a very popular technique fo...
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03/17/2022
TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding
Speaker embedding is an important front-end module to explore discrimina...
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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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10/09/2021
Using multiple reference audios and style embedding constraints for speech synthesis
The end-to-end speech synthesis model can directly take an utterance as ...
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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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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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05/05/2020
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes
Spiking neural networks (SNNs) are considered as a potential candidate t...
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05/02/2020
Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning
Spikes are the currency in central nervous systems for information trans...
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10/23/2019
Relation Modeling with Graph Convolutional Networks for Facial Action Unit Detection
Most existing AU detection works considering AU relationships are relyin...
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02/04/2019
Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning
The capability for environmental sound recognition (ESR) can determine t...
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03/21/2018
