Speech naturalness improvement via $$\mathrm {\epsilon }$$ϵ-closed extended vectors sets in voice conversion systems
Sign Up to like & getrecommendations! Published in 2018 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-017-0470-3
Abstract: In conventional voice conversion methods, some features of a speech signal’s spectrum envelope are first extracted. Then, these features are converted so as to best match a target speaker’s speech by designing and using a… read more here.
Keywords: speech signal; spectrum envelope; voice conversion;
Voice Conversion With CycleRNN-Based Spectral Mapping and Finely Tuned WaveNet Vocoder
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2955978
Abstract: In this paper, we present a novel framework for a voice conversion (VC) system based on a cyclic recurrent neural network (CycleRNN) and a finely tuned WaveNet vocoder. Even though WaveNet is capable of producing… read more here.
Keywords: speaker; conversion; voice conversion; model ... See more keywords
Sequence-to-Sequence Emotional Voice Conversion With Strength Control
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3065460
Abstract: This paper proposes an improved emotional voice conversion (EVC) method with emotional strength and duration controllability. EVC methods without duration mapping generate emotional speech with identical duration to that of the neutral input speech. In… read more here.
Keywords: voice conversion; strength; sequence; emotional voice ... See more keywords
Voice Conversion Based Augmentation and a Hybrid CNN-LSTM Model for Improving Speaker-Independent Keyword Recognition on Limited Datasets
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3200479
Abstract: Keyword recognition is the basis of speech recognition, and its application is rapidly increasing in keyword spotting, robotics, and smart home surveillance. Because of these advanced applications, improving the accuracy of keyword recognition is crucial.… read more here.
Keywords: recognition; voice conversion; voice; keyword recognition ... See more keywords
Random Cycle Loss and Its Application to Voice Conversion.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3257839
Abstract: Speech disentanglement aims to decompose independent causal factors of speech signals into separate codes. Perfect disentanglement benefits to a broad range of speech processing tasks. This paper presents a simple but effective disentanglement approach based… read more here.
Keywords: random cycle; cycle; voice conversion; cycle loss ... See more keywords
Noise-Robust Voice Conversion Using High-Quefrency Boosting via Sub-Band Cepstrum Conversion and Fusion
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app10010151
Abstract: This paper presents a noise-robust voice conversion method with high-quefrency boosting via sub-band cepstrum conversion and fusion based on the bidirectional long short-term memory (BLSTM) neural networks that can convert parameters of vocal tracks of… read more here.
Keywords: voice conversion; voice; conversion; band cepstrum ... See more keywords