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20212026
most citedZero-shot text-to-speech synthesis conditioned using self-supervised speech representation model

9 citations · 24 across the 33 of their papers we have counts for

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cs.SD2026

Frontend Token Enhancement for Token-Based Speech Recognition

Takanori Ashihara, Shota Horiguchi, Kohei Matsuura +2

Discretized representations of speech signals are efficient alternatives to continuous features for various speech applications, including automatic speech recognition (ASR) and sp…

cs.SD2024

Investigation of Speaker Representation for Target-Speaker Speech Processing

Takanori Ashihara, Takafumi Moriya, Shota Horiguchi +5

Target-speaker speech processing (TS) tasks, such as target-speaker automatic speech recognition (TS-ASR), target speech extraction (TSE), and personal voice activity detection (p-…

cs.SD2024

Lightweight Zero-shot Text-to-Speech with Mixture of Adapters

Kenichi Fujita, Takanori Ashihara, Marc Delcroix +1

The advancements in zero-shot text-to-speech (TTS) methods, based on large-scale models, have demonstrated high fidelity in reproducing speaker characteristics. However, these mode…

cs.SD2024

Noise-robust zero-shot text-to-speech synthesis conditioned on self-supervised speech-representation model with adapters

Kenichi Fujita, Hiroshi Sato, Takanori Ashihara +4

The zero-shot text-to-speech (TTS) method, based on speaker embeddings extracted from reference speech using self-supervised learning (SSL) speech representations, can reproduce sp…

cs.SD2023★ 9 cited

Zero-shot text-to-speech synthesis conditioned using self-supervised speech representation model

Kenichi Fujita, Takanori Ashihara, Hiroki Kanagawa +2

This paper proposes a zero-shot text-to-speech (TTS) conditioned by a self-supervised speech-representation model acquired through self-supervised learning (SSL). Conventional meth…