An Investigation of Streaming Non-Autoregressive sequence-to-sequence Voice Conversion

Author:

Hayashi Tomoki1,Kobayashi Kazuhiro1,Toda Tomoki2

Affiliation:

1. TARVO Inc.,Japan

2. Nagoya University,Japan

Publisher

IEEE

Reference25 articles.

1. FastSpeech 2: Fast and high-quality end-to-end text-to-speech;ren;arXiv preprint arXiv 2006 04989,2020

2. Conformer: Convolution-augmented Transformer for Speech Recognition

3. Implementation of computationally efficient real-time voice conversion

4. Implementation of dnn-based real-time voice conversion and its improvements by audio data augmentation and mask-shaped device;arakawa;Proc Speech Synthesis Workshop (SSW),2019

5. Real-time, full-band, online dnn-based voice conversion system using a single cpu;saeki;Proc INTERSPEECH,2020

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1. Low-Latency Electrolaryngeal Speech Enhancement Based on Fastspeech2-Based Voice Conversion and Self-Supervised Speech Representation;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

2. Streaming Voice Conversion via Intermediate Bottleneck Features and Non-Streaming Teacher Guidance;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

3. Timbre-Reserved Adversarial Attack in Speaker Identification;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023

4. A Study on Low-Latency Recognition-Synthesis-Based Any-to-One Voice Conversion;2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2022-11-07

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