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09/15/2023
Audio Difference Learning for Audio Captioning
This study introduces a novel training paradigm, audio difference learni...
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09/15/2023
PromptTTS++: Controlling Speaker Identity in Prompt-Based Text-to-Speech Using Natural Language Descriptions
We propose PromptTTS++, a prompt-based text-to-speech (TTS) synthesis sy...
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03/13/2023
Neural Diarization with Non-autoregressive Intermediate Attractors
End-to-end neural diarization (EEND) with encoder-decoder-based attracto...
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04/05/2022
How Information on Acoustic Scenes and Sound Events Mutually Benefits Event Detection and Scene Classification Tasks
Acoustic scene classification (ASC) and sound event detection (SED) are ...
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04/01/2022
Better Intermediates Improve CTC Inference
This paper proposes a method for improved CTC inference with searched in...
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04/01/2022
Multi-sequence Intermediate Conditioning for CTC-based ASR
End-to-end automatic speech recognition (ASR) directly maps input speech...
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04/01/2022
InterAug: Augmenting Noisy Intermediate Predictions for CTC-based ASR
This paper proposes InterAug: a novel training method for CTC-based ASR ...
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02/17/2022
Non-Autoregressive ASR with Self-Conditioned Folded Encoders
This paper proposes CTC-based non-autoregressive ASR with self-condition...
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02/17/2022
Acoustic Event Detection with Classifier Chains
This paper proposes acoustic event detection (AED) with classifier chain...
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02/17/2022
MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognition
We propose multi-layer perceptron (MLP)-based architectures suitable for...
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10/11/2021
A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation
Non-autoregressive (NAR) models simultaneously generate multiple outputs...
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04/21/2021
Label-Synchronous Speech-to-Text Alignment for ASR Using Forward and Backward Transformers
This paper proposes a novel label-synchronous speech-to-text alignment t...
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04/06/2021
Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions
This paper proposes a method to relax the conditional independence assum...
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06/19/2020
Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation
This paper studies how to learn variational autoencoders with a variety ...
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02/14/2020
Consistency-aware multi-channel speech enhancement using deep neural networks
This paper proposes a deep neural network (DNN)-based multi-channel spee...
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11/11/2019
Unsupervised Training for Deep Speech Source Separation with Kullback-Leibler Divergence Based Probabilistic Loss Function
In this paper, we propose a multi-channel speech source separation with ...
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08/27/2019
Overview of Tasks and Investigation of Subjective Evaluation Methods in Environmental Sound Synthesis and Conversion
Synthesizing and converting environmental sounds have the potential for ...
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07/11/2019
Multichannel Loss Function for Supervised Speech Source Separation by Mask-based Beamforming
In this paper, we propose two mask-based beamforming methods using a dee...
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04/08/2019
Bayesian Non-Parametric Multi-Source Modelling Based Determined Blind Source Separation
This paper proposes a determined blind source separation method using Ba...
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04/05/2019
