Audio

Investigation of Singing Voice Separation for Singing Voice Detection in Polyphonic Music
Singing voice detection (SVD), to recognize vocal parts in the song, is an essential task in music information retrieval (MIR). The …
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Investigation of Singing Voice Separation for Singing Voice Detection in Polyphonic Music
Adaptive Activation Network for Low Resource Multilingual Speech Recognition
Low resource automatic speech recognition (ASR) is a useful but thorny task, since deep learning ASR models usually need huge amounts …
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Adaptive Activation Network for Low Resource Multilingual Speech Recognition
MDCNN-SID: Multi-scale Dilated Convolution Network for Singer Identification
Most singer identification methods are processed in the frequency domain, which potentially leads to information loss during the …
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MDCNN-SID: Multi-scale Dilated Convolution Network for Singer Identification
MetaSID: Singer Identification with Domain Adaptation for Metaverse
Metaverse has stretched the real world into unlimited space. There will be more live concerts in Metaverse. The task of singer …
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MetaSID: Singer Identification with Domain Adaptation for Metaverse
Singer Identification for Metaverse with Timbral and Middle-Level Perceptual Features
Metaverse is an interactive world that combines reality and virtuality, where participants can be virtual avatars. Anyone can hold a …
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Singer Identification for Metaverse with Timbral and Middle-Level Perceptual Features
Speech Augmentation Based Unsupervised Learning for Keyword Spotting
In this paper, we investigated a speech augmentation based unsupervised learning approach for keyword spotting (KWS) task. KWS is a …
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Speech Augmentation Based Unsupervised Learning for Keyword Spotting
SUSing: SU-net for Singing Voice Synthesis
Singing voice synthesis is a generative task that involves multi-dimensional control of the singing model, including lyrics, pitch, and …
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SUSing: SU-net for Singing Voice Synthesis
TDASS: Target Domain Adaptation Speech Synthesis Framework for Multi-speaker Low-Resource TTS
Recently, synthesizing personalized speech by text-to-speech (TTS) application is highly demanded. But the previous TTS models require …
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TDASS: Target Domain Adaptation Speech Synthesis Framework for Multi-speaker Low-Resource TTS
AVQVC: One-Shot Voice Conversion By Vector Quantization With Applying Contrastive Learning
Voice Conversion(VC) refers to changing the timbre of a speech while retaining the discourse content. Recently, many works have focused …
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AVQVC: One-Shot Voice Conversion By Vector Quantization With Applying Contrastive Learning
DRVC: A Framework of Any-to-Any Voice Conversion with Self-Supervised Learning
Any-to-any voice conversion problem aims to convert voices for source and target speakers, which are out of the training data. Previous …
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DRVC: A Framework of Any-to-Any Voice Conversion with Self-Supervised Learning