講演名 2023-10-14
Electrolaryngeal Speech Enhancement through Strong Linguistic Encoding Methods
Lester Phillip Violeta(名大), Wen-Chin Huang(名大), Ding Ma(名大), Ryuichi Yamamoto(名大), Kazuhiro Kobayashi(名大), Tomoki Toda(名大),
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抄録(和) Although pretraining and fine-tuning approaches have proven to work well in speech intelligibility enhancement, various mismatches, such as the speech type mismatch or speaker mismatches between the datasets used in each stage, can deteriorate the conversion performance of this framework. We propose a linguistic encoder robust enough to project both EL and typical speech in the same latent space, while still being able to extract accurate linguistic information, creating a unified representation to reduce the speech type mismatch. Furthermore, we introduce HuBERT output features to the proposed framework for reducing the speaker mismatch. Such a framework makes it possible to effectively use a large-scale parallel dataset during pretraining. We show that compared to the conventional framework using mel-spectrogram input and output features, using the proposed framework enables the model to synthesize more intelligible and naturally sounding speech, as shown by a significant 16% improvement in character error rate and 0.83 improvement in naturalness score.
抄録(英) Although pretraining and fine-tuning approaches have proven to work well in speech intelligibility enhancement, various mismatches, such as the speech type mismatch or speaker mismatches between the datasets used in each stage, can deteriorate the conversion performance of this framework. We propose a linguistic encoder robust enough to project both EL and typical speech in the same latent space, while still being able to extract accurate linguistic information, creating a unified representation to reduce the speech type mismatch. Furthermore, we introduce HuBERT output features to the proposed framework for reducing the speaker mismatch. Such a framework makes it possible to effectively use a large-scale parallel dataset during pretraining. We show that compared to the conventional framework using mel-spectrogram input and output features, using the proposed framework enables the model to synthesize more intelligible and naturally sounding speech, as shown by a significant 16% improvement in character error rate and 0.83 improvement in naturalness score.
キーワード(和) Intelligibility enhancement / Electrolaryngeal speech / Atypical speech
キーワード(英) Intelligibility enhancement / Electrolaryngeal speech / Atypical speech
資料番号 SP2023-33,WIT2023-24
発行日 2023-10-07 (SP, WIT)

研究会情報
研究会 WIT / SP / IPSJ-SLP
開催期間 2023/10/14(から1日開催)
開催地(和) 九州工業大学(戸畑キャンパス)
開催地(英) Kyushu Institute of Technology
テーマ(和) 音声と福祉情報工学,一般
テーマ(英) Speech and Well-being Information Technology, etc.
委員長氏名(和) 塩野目 剛亮(帝京大) / 戸田 智基(名大) / 戸田 智基(名大)
委員長氏名(英) Takeaki Shionome(Teikyo Univ.) / Tomoki Toda(Nagoya Univ.) / Tomoki Toda(Nagoya Univ.)
副委員長氏名(和) 酒向 慎司(名工大)
副委員長氏名(英) Shinji Sakou(Nagoya Inst. of Tech.)
幹事氏名(和) 細野 美奈子(産総研) / 菅野 亜紀(富山大) / 宮城 愛美(筑波技術大) / 安藤 厚志(NTT) / 橋本 佳(名工大) / 安藤 厚志(NTT) / 橋本 佳(名工大) / 相原 龍(三菱電機) / 齋藤 大輔(東大)
幹事氏名(英) Minako Hosono(AIST) / Aki Sugano(Univ. of Toyama) / Manabi Miyagi(Tsukuba Univ. of Tech.) / Atsushi Ando(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / Atsushi Ando(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / Ryo Aihara(Mitsubishi Electric) / Daisuke Saito(UTokyo)
幹事補佐氏名(和) 内田 翼(NHK) / 三浦 哲平(豊田高専) / 相原 龍(三菱電機) / 齋藤 大輔(東大)
幹事補佐氏名(英) Tsubasa Uchida(NHK) / Teppei Miura(National Inst. of Techn. Toyota College) / Ryo Aihara(Mitsubishi Electric) / Daisuke Saito(Univ. of Tokyo)

講演論文情報詳細
申込み研究会 Technical Committee on Well-being Information Technology / Technical Committee on Speech / Special Interest Group on Spoken Language Processing
本文の言語 ENG
タイトル(和)
サブタイトル(和)
タイトル(英) Electrolaryngeal Speech Enhancement through Strong Linguistic Encoding Methods
サブタイトル(和)
キーワード(1)(和/英) Intelligibility enhancement / Intelligibility enhancement
キーワード(2)(和/英) Electrolaryngeal speech / Electrolaryngeal speech
キーワード(3)(和/英) Atypical speech / Atypical speech
第 1 著者 氏名(和/英) Lester Phillip Violeta / Lester Phillip Violeta
第 1 著者 所属(和/英) Nagoya University(略称:名大)
Nagoya University(略称:Nagoya Univ.)
第 2 著者 氏名(和/英) Wen-Chin Huang / Wen-Chin Huang
第 2 著者 所属(和/英) Nagoya University(略称:名大)
Nagoya University(略称:Nagoya Univ.)
第 3 著者 氏名(和/英) Ding Ma / Ding Ma
第 3 著者 所属(和/英) Nagoya University(略称:名大)
Nagoya University(略称:Nagoya Univ.)
第 4 著者 氏名(和/英) Ryuichi Yamamoto / Ryuichi Yamamoto
第 4 著者 所属(和/英) Nagoya University(略称:名大)
Nagoya University(略称:Nagoya Univ.)
第 5 著者 氏名(和/英) Kazuhiro Kobayashi / Kazuhiro Kobayashi
第 5 著者 所属(和/英) Nagoya University(略称:名大)
Nagoya University(略称:Nagoya Univ.)
第 6 著者 氏名(和/英) Tomoki Toda / Tomoki Toda
第 6 著者 所属(和/英) Nagoya University(略称:名大)
Nagoya University(略称:Nagoya Univ.)
発表年月日 2023-10-14
資料番号 SP2023-33,WIT2023-24
巻番号(vol) vol.123
号番号(no) SP-212,WIT-213
ページ範囲 pp.33-38(SP), pp.33-38(WIT),
ページ数 6
発行日 2023-10-07 (SP, WIT)