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08/23/2023
CED: Consistent ensemble distillation for audio tagging
Augmentation and knowledge distillation (KD) are well-established techni...
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06/28/2023
Focus on the Sound around You: Monaural Target Speaker Extraction via Distance and Speaker Information
Previously, Target Speaker Extraction (TSE) has yielded outstanding perf...
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06/28/2023
Enhanced Neural Beamformer with Spatial Information for Target Speech Extraction
Recently, deep learning-based beamforming algorithms have shown promisin...
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06/25/2023
AV-SepFormer: Cross-Attention SepFormer for Audio-Visual Target Speaker Extraction
Visual information can serve as an effective cue for target speaker extr...
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05/30/2023
Understanding temporally weakly supervised training: A case study for keyword spotting
The currently most prominent algorithm to train keyword spotting (KWS) m...
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05/29/2023
Streaming Audio Transformers for Online Audio Tagging
Transformers have emerged as a prominent model framework for audio taggi...
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03/20/2023
Exploring Representation Learning for Small-Footprint Keyword Spotting
In this paper, we investigate representation learning for low-resource k...
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03/20/2023
Relate auditory speech to EEG by shallow-deep attention-based network
Electroencephalography (EEG) plays a vital role in detecting how brain r...
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03/10/2023
Improving Weakly Supervised Sound Event Detection with Causal Intervention
Existing weakly supervised sound event detection (WSSED) work has not ex...
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03/03/2023
Unified Keyword Spotting and Audio Tagging on Mobile Devices with Transformers
Keyword spotting (KWS) is a core human-machine-interaction front-end tas...
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12/07/2022
Improve Bilingual TTS Using Dynamic Language and Phonology Embedding
In most cases, bilingual TTS needs to handle three types of input script...
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09/30/2022
An empirical study of weakly supervised audio tagging embeddings for general audio representations
We study the usability of pre-trained weakly supervised audio tagging (A...
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09/23/2022
UniKW-AT: Unified Keyword Spotting and Audio Tagging
Within the audio research community and the industry, keyword spotting (...
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04/28/2022
Pseudo strong labels for large scale weakly supervised audio tagging
Large-scale audio tagging datasets inevitably contain imperfect labels, ...
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03/31/2022
Learning Decoupling Features Through Orthogonality Regularization
Keyword spotting (KWS) and speaker verification (SV) are two important t...
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10/19/2021
Improving Emotional Speech Synthesis by Using SUS-Constrained VAE and Text Encoder Aggregation
Learning emotion embedding from reference audio is a straightforward app...
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10/09/2021
PAMA-TTS: Progression-Aware Monotonic Attention for Stable Seq2Seq TTS With Accurate Phoneme Duration Control
Sequence expansion between encoder and decoder is a critical challenge i...
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09/01/2021
A Separable Temporal Convolution Neural Network with Attention for Small-Footprint Keyword Spotting
Keyword spotting (KWS) on mobile devices generally requires a small memo...
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08/27/2021
Separable Temporal Convolution plus Temporally Pooled Attention for Lightweight High-performance Keyword Spotting
Keyword spotting (KWS) on mobile devices generally requires a small memo...
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07/23/2021
Multi-channel Speech Enhancement with 2-D Convolutional Time-frequency Domain Features and a Pre-trained Acoustic Model
We propose a multi-channel speech enhancement approach with a novel two-...
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07/07/2021
Effective and Differentiated Use of Control Information for Multi-speaker Speech Synthesis
In multi-speaker speech synthesis, data from a number of speakers usuall...
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06/13/2021
GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
This paper introduces GigaSpeech, an evolving, multi-domain English spee...
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04/03/2021
speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment
This paper introduces a new open-source speech corpus named "speechocean...
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11/18/2020
Multi-Channel Automatic Speech Recognition Using Deep Complex Unet
The front-end module in multi-channel automatic speech recognition (ASR)...
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11/09/2020
Data Augmentation For Children's Speech Recognition – The "Ethiopian" System For The SLT 2021 Children Speech Recognition Challenge
This paper presents the "Ethiopian" system for the SLT 2021 Children Spe...
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09/08/2020
AutoKWS: Keyword Spotting with Differentiable Architecture Search
Smart audio devices are gated by an always-on lightweight keyword spotti...
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08/03/2020
Exploiting Deep Sentential Context for Expressive End-to-End Speech Synthesis
Attention-based seq2seq text-to-speech systems, especially those use sel...
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04/10/2019
RawNet: Fast End-to-End Neural Vocoder
Neural networks based vocoders have recently demonstrated the powerful a...
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11/01/2018
End-to-end Models with auditory attention in Multi-channel Keyword Spotting
In this paper, we propose an attention-based end-to-end model for multi-...
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11/01/2018
Sequence-to-sequence Models for Small-Footprint Keyword Spotting
In this paper, we propose a sequence-to-sequence model for keyword spott...
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03/29/2018
Attention-based End-to-End Models for Small-Footprint Keyword Spotting
In this paper, we propose an attention-based end-to-end neural approach ...
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03/27/2018
Empirical Evaluation of Speaker Adaptation on DNN based Acoustic Model
Speaker adaptation aims to estimate a speaker specific acoustic model fr...
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03/27/2018
Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition
We investigate the use of generative adversarial networks (GANs) in spee...
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07/22/2017
