* 発表論文 - 2019 [#v21c7b28] #contents ** 全国大会 [#a92cca8f] + %%%島田基樹%%%, 橋本佳, 大浦圭一郎, 南角吉彦, 徳田恵一, ``隠れセミマルコフモデルの構造を用いたDNNに基づく音声合成における計算量削減手法の検討,'' 日本音響学会2019年春季研究発表会, pp. 1071-1072, 東京, 日本, 2019年3月. //%%%Motoki Shimada%%%, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda, ``Reducing computational costs for speech synthesis based on deep neural networks using hidden semi-Markov model structures,'' Acoustical Society of Japan 2019 Spring Meeting, pp. 1071-1072, Tokyo, Japan, March, 2019. &publication(2019/20190307_DConference_ASJS_Motoki_Shimada_paper.pdf, paper); &publication(2019/20190307_DConference_ASJS_Motoki_Shimada_slide.pptx, slide); &publication(2019/20190307_DConference_ASJS_Motoki_Shimada_abst.pdf, abst); + %%%藤本崇人%%%, 橋本佳, 大浦圭一郎, 南角吉彦, 徳田恵一, ``日本語End-to-End音声合成における入力言語特徴量の影響,'' 日本音響学会2019年春季研究発表会, pp. 1061-1062, 東京, 日本, 2019年3月. //%%%Takato Fujimoto%%%, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda, ``Impacts of input linguistic features on Japanese end-to-end speech synthesis,'' Acoustical Society of Japan 2019 Spring Meeting, pp. 1061-1062, Tokyo, Japan, March, 2019. &publication(2019/20190307_DConference_ASJS_Takato_Fujimoto_paper.pdf, paper); &publication(2019/20190307_DConference_ASJS_Takato_Fujimoto_slide.pptx, slide); &publication(2019/20190307_DConference_ASJS_Takato_Fujimoto_abst.pdf, abst); + %%%大浦圭一郎%%%, 中村和寛, 橋本佳, 南角吉彦, 徳田恵一, ``周期・非周期信号から駆動するディープニューラルネットワークに基づく音声ボコーダ ,'' 日本音響学会2019年春季研究発表会, pp. 1049-1052, 東京, 日本, 2019年3月. //%%%Keiichiro Oura%%%, Kazuhiro Nakamura, Kei Hashimoto, Yoshihiko Nankaku, and Keiichi Tokuda, ``Deep neural network based speech vocoder with periodic/aperiodic inputs,'' Acoustical Society of Japan 2019 Spring Meeting, pp. 1049-1052, Tokyo, Japan, March, 2019. &publication(2019/20190307_DConference_ASJS_Keiichiro_Oura_paper.pdf, paper); &publication(2019/20190307_DConference_ASJS_Keiichiro_Oura_slide.pptx, slide); &publication(2019/20190307_DConference_ASJS_Keiichiro_Oura_abst.pdf, abst); + %%%沢田慶%%%, 坪井一菜, Xianchao Wu, Zhan Chen, 法野行哉, 橋本佳, 大浦圭一郎, 南角吉彦, 徳田恵一, ``AI歌手りんな:ユーザ歌唱や楽譜を入力とする歌声合成システム,'' 日本音響学会2019年春季研究発表会, pp. 1041-1044, 東京, 日本, 2019年3月. //%%%Kei Sawada%%%, Kazuna Tsuboi, Xianchao Wu, Zhan Chen, Yukiya Hono, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda, ``AI Singer Rinna: a singing voice synthesis system using user's singing voice or musical score,'' Acoustical Society of Japan 2019 Spring Meeting, pp. 1041-1044, Tokyo, Japan, March, 2019. &publication(2019/20190306_DConference_ASJS_Kei_Sawada_paper.pdf, paper); &publication(2019/20190306_DConference_ASJS_Kei_Sawada_abst.pdf, abst); + %%%法野行哉%%%, 橋本佳, 大浦圭一郎, 南角吉彦, 徳田恵一, ``敵対的生成ネットワークを用いた歌声合成の検討,'' 日本音響学会2019年春季研究発表会, pp. 1039-1040, 東京, 日本, 2019年3月. //%%%Yukiya Hono%%%, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda, ``Singing voice synthesis using generative adversarial networks,'' Acoustical Society of Japan 2019 Spring Meeting, pp. 1039-1040, Tokyo, Japan, March, 2019. &publication(2019/20190306_DConference_ASJS_Yukiya_Hono_paper.pdf, paper); &publication(2019/20190306_DConference_ASJS_Yukiya_Hono_slide.pptx, slide); &publication(2019/20190306_DConference_ASJS_Yukiya_Hono_abst.pdf, abst); + %%%中村和寛%%%, 橋本佳, 大浦圭一郎, 南角吉彦, 徳田恵一, ``歌声合成における CNN に基づく音声パラメータ生成手法の検討,'' 日本音響学会2019年春季研究発表会, pp. 1033-1034, 東京, 日本, 2019年3月. //%%%Kazuhiro Nakamura%%%, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda, ``CNN-basd speech parameter generation for singing voice synthesis,'' Acoustical Society of Japan 2019 Spring Meeting, pp. 1033-1034, Tokyo, Japan, March, 2019. &publication(2019/20190306_DConference_ASJS_Kazuhiro_Nakamura_paper.pdf, paper); &publication(2019/20190306_DConference_ASJS_Kazuhiro_Nakamura_slide.pptx, slide); &publication(2019/20190306_DConference_ASJS_Kazuhiro_Nakamura_abst.pdf, abst); + %%%角谷健太%%%, 橋本佳, 大浦圭一郎, 南角吉彦, 徳田恵一, ``DNNに基づく感情音声合成のための敵対的学習の検討,'' 日本音響学会2019年春季研究発表会, pp. 1359-1360, 東京, 日本, 2019年3月. //%%%Kenta Sumiya%%%, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda, ``A study of adversarial learning for emotional speech synthesis based on deep neural networks,'' Acoustical Society of Japan 2019 Spring Meeting, pp. 1359-1360, Tokyo, Japan, March, 2019. &publication(2019/20190307_DConference_ASJS_Kenta_Sumiya_paper.pdf, paper); &publication(2019/20190307_DConference_ASJS_Kenta_Sumiya_slide.pptx, slide); &publication(2019/20190307_DConference_ASJS_Kenta_Sumiya_abst.pdf, abst); ** 学位論文 [#sa57a425] + %%%丹羽純平%%%, ``WaveNetに基づく統計的声質変換,'' 修士論文, 名古屋工業大学, 2019年2月. //%%% %%%, ``,,'' Statistical voice conversion based on WaveNet, February, 2019. &publication(2019/20190206_Thesis_Bachelor_Jumpei_Niwa_paper.pdf, paper); &publication(2019/20190206_Thesis_Bachelor_Jumpei_Niwa_slide.pptx, slide); &publication(2019/20190206_Thesis_Bachelor_Jumpei_Niwa_abst.pdf, abst); + %%%脇口甲太郎%%%, ``統計モデルに基づくドライバ認知負荷のリアルタイム推定,'' 修士論文, 名古屋工業大学, 2019年2月. //%%% %%%, ``Speaker recognition based on neural networks including structures of statistical generative models,'' February, 2019. &publication(2019/20190206_Thesis_Bachelor_Natsumi_Wakiguchi_paper.pdf, paper); &publication(2019/20190206_Thesis_Bachelor_Natsumi_Wakiguchi_slide.pptx, slide); &publication(2019/20190206_Thesis_Bachelor_Natsumi_Wakiguchi_abst.pdf, abst); + %%%小池なつみ%%%, ``統計的生成モデルの構造を内包したニューラルネットワークに基づく話者認識,'' 修士論文, 名古屋工業大学, 2019年2月. //%%% %%%, ``Speaker recognition based on neural networks including structures of statistical generative models,'' February, 2019. &publication(2019/20190206_Thesis_Bachelor_Natsumi_Koike_paper.pdf, paper); &publication(2019/20190206_Thesis_Bachelor_Natsumi_Koike_slide.pptx, slide); &publication(2019/20190206_Thesis_Bachelor_Natsumi_Koike_abst.pdf, abst); + %%%市橋史也%%%, ``連続値入出力に対応したWFSTに基づく階層型音声認識デコーダの開発,'' 修士論文, 名古屋工業大学, 2019年2月. //%%% %%%, ``Development of a hierarchical speech recognition decoder based on WFST extended to continuous value inputs and outputs,'' February, 2019. &publication(2019/20190206_Thesis_Bachelor_Fumiya_Ichihashi_paper.pdf, paper); &publication(2019/20190206_Thesis_Bachelor_Fumiya_Ichihashi_slide.pptx, slide); &publication(2019/20190206_Thesis_Bachelor_Fumiya_Ichihashi_abst.pdf, abst); + %%%市川英嗣%%%, ``分離型格子構造を用いたDNN-HMMハイブリッドモデルに基づく幾何学的変動に頑健な画像認識,'' 修士論文, 名古屋工業大学, 2019年2月. //%%% %%%, ``Robust image recognition against geometric variations based on DNN-HMM hybrid models using separable lattice structures,'' February, 2019. &publication(2019/20190206_Thesis_Bachelor_Eiji_Ichikawa_paper.pdf, paper); &publication(2019/20190206_Thesis_Bachelor_Eiji_Ichikawa_slide.pptx, slide); &publication(2019/20190206_Thesis_Bachelor_Eiji_Ichikawa_abst.pdf, abst); + %%%法野行哉%%%, ``Deep Neural Networkに基づく歌声合成システムの構築,'' 修士論文, 名古屋工業大学, 2019年2月. //%%% %%%, ``Development of a singing voice synthesis system based on deep neural networks,'' February, 2019. &publication(2019/20190206_Thesis_Bachelor_Yukiya_Hono_paper.pdf, paper); &publication(2019/20190206_Thesis_Bachelor_Yukiya_Hono_slide.pptx, slide); &publication(2019/20190206_Thesis_Bachelor_Yukiya_Hono_abst.pdf, abst); + %%%池浦史芳%%%, ``バス停雑音下における音声路線案内システムに適した合成音声の検討,'' 修士論文, 名古屋工業大学, 2019年2月. //%%% %%%, ``Speech synthesis suitable for voice route guidance systems in noisy environments at bus stops,'' February, 2019. &publication(2019/20190206_Thesis_Bachelor_Fumiyoshi_Ikeura_paper.pdf, paper); &publication(2019/20190206_Thesis_Bachelor_Fumiyoshi_Ikeura_slide.pptx, slide); &publication(2019/20190206_Thesis_Bachelor_Fumiyoshi_Ikeura_abst.pdf, abst); + %%%牛田光一%%%, ``効率的な情報伝達のための音声合成システム構築法の検討,'' 卒業論文, 名古屋工業大学, 2019年2月. //%%% %%%, ``A construction method ofspeech synthesis system forefficient information transmission,'' February, 2019. &publication(2019/20190213_Thesis_Bachelor_Koichi_Ushida_paper.pdf, paper); &publication(2019/20190213_Thesis_Bachelor_Koichi_Ushida_slide.pptx, slide); &publication(2019/20190213_Thesis_Bachelor_Koichi_Ushida_abst.pdf, abst); + %%%木下耕介%%%, ``統計的生成モデルの構造を組み込んだニューラルネットワークに基づく画像認識,'' 卒業論文, 名古屋工業大学, 2019年2月. //%%% %%%, ``IMAGE RECOGNITION BASED ON NEURAL NETWORKS INCORPORATING STRUCTURES OF STATISTICAL GENERATIVE MODELS,'' February, 2019. &publication(2019/20190213_Thesis_Bachelor_Kosuke_Kinoshita_paper.pdf, paper); &publication(2019/20190213_Thesis_Bachelor_Kosuke_Kinoshita_slide.pptx, slide); &publication(2019/20190213_Thesis_Bachelor_Kosuke_Kinoshita_abst.pdf, abst); + %%%小林樹%%%, ``プライバシー保護を目的とした音声変換に基づく選択的情報マスキング,'' 卒業論文, 名古屋工業大学, 2019年2月. //%%% %%%, ``Selective information masking based on voice conversion for privacy protection,'' February, 2019. &publication(2019/20190213_Thesis_Bachelor_Tatsuki_Kobayashi_paper.pdf, paper); &publication(2019/20190213_Thesis_Bachelor_Tatsuki_Kobayashi_slide.pptx, slide); &publication(2019/20190213_Thesis_Bachelor_Tatsuki_Kobayashi_abst.pdf, abst); + %%%清水達也%%%, ``Sequential VAE に基づく話者認識における入力発話長の影響に関する調査,'' 卒業論文, 名古屋工業大学, 2019年2月. //%%% %%%, ``INFLUENCE OF INPUT UTTERANCE LENGTHS IN SPEAKER RECOGNITION BASED SEQUENTIAL VAE,'' February, 2019. &publication(2019/20190213_Thesis_Bachelor_Tatsuya_Shimizu_paper.pdf, paper); &publication(2019/20190213_Thesis_Bachelor_Tatsuya_Shimizu_slide.pptx, slide); &publication(2019/20190213_Thesis_Bachelor_Tatsuya_Shimizu_abst.pdf, abst); + %%%角谷健太%%%, ``ディープニューラルネットワークに基づく感情音声合成のための敵対的学習手法の検討,'' 卒業論文, 名古屋工業大学, 2019年2月. //%%% %%%, ``ADVERSARIAL LEARNING FOR EMOTIONAL SPEECH SYNTHESIS BASED ON DEEP NEURAL NETWORKS,'' February, 2019. &publication(2019/20190213_Thesis_Bachelor_Kenta_Sumiya_paper.pdf, paper); &publication(2019/20190213_Thesis_Bachelor_Kenta_Sumiya_slide.pptx, slide); &publication(2019/20190213_Thesis_Bachelor_Kenta_Sumiya_abst.pdf, abst); + %%%佐藤優介%%%, ``Deep Neural Networkに基づく音声合成におけるクロスリンガル話者適応,'' 卒業論文, 名古屋工業大学, 2019年2月. //%%% %%%, ``CROSS-LINGUAL SPEAKER ADAPTATION IN SPEECH SYNTHESIS BASED ON DEEP NEURAL NETWORKS,'' February, 2019. &publication(2019/20190213_Thesis_Bachelor_Yusuke_Sato_paper.pdf, paper); &publication(2019/20190213_Thesis_Bachelor_Yusuke_Sato_slide.pptx, slide); &publication(2019/20190213_Thesis_Bachelor_Yusuke_Sato_abst.pdf, abst); + %%%中村洋太%%%, ``深層学習に基づいた楽譜情報を入力とする楽器音合成の検討,'' 卒業論文, 名古屋工業大学, 2019年2月. //%%% %%%, ``DEEP LEARNING BASED INSTRUMENTAL SOUND SYNTHESIS FROM MUSICAL SCORES,'' February, 2019. &publication(2019/20190213_Thesis_Bachelor_Yota_Nakamura_paper.pdf, paper); &publication(2019/20190213_Thesis_Bachelor_Yota_Nakamura_slide.pptx, slide); &publication(2019/20190213_Thesis_Bachelor_Yota_Nakamura_abst.pdf, abst); + %%%和田蒼汰%%%, ``歌声合成用WaveNetボコーダにおける最適なモデル構造と学習条件の調査,'' 卒業論文, 名古屋工業大学, 2019年2月. //%%% %%%, ``EXPLORING MODEL STRUCTURES ANDLEARNING CONDITIONS OF WAVENETVOCODER FOR SINGING VOICE SYNTHESIS,'' February, 2019. &publication(2019/20190213_Thesis_Bachelor_Sota_Wada_paper.pdf, paper); &publication(2019/20190213_Thesis_Bachelor_Sota_Wada_slide.pptx, slide); &publication(2019/20190213_Thesis_Bachelor_Sota_Wada_abst.pdf, abst); **過去の発表論文 [#b389580e] #ls2(ホーム/発表論文/,reverse);