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Does the Speaker Embedding Encode Speech Rhythm?
김서현
남호성
2021년
활용도 Analysis
논문 Analysis
연구자 Analysis
활용도 Analysis
논문 Analysis
연구자 Analysis
활용도
공유도
영향력
논문상세정보
저자
김서현
남호성
주제어
Computer-Assisted Pronunciation Training
Speaker Embedding
Voice Conversion
음성변환
컴퓨터 보조 발음 학습
화자 임베딩
참고문헌( 44)
유사주제 논문( 21)
음성변환 7건
Computer-Assisted Pronunciation Training 6건
화자 임베딩 4건
Speaker Embedding 2건
Voice Conversion 1건
컴퓨터 보조 발음 학습 1건
인용/피인용
Does the Speaker Embedding Encode Speech Rhyth ...
' Does the Speaker Embedding Encode Speech Rhythm?' 의 주제별 논문영향력
논문영향력 요약
주제
Computer-Assisted Pronunciation Training
Speaker Embedding
Voice Conversion
음성변환
컴퓨터 보조 발음 학습
화자 임베딩
동일주제 총논문수
논문피인용 총횟수
주제별 논문영향력의 평균
27
0
0.0%
자세히
주제별 논문영향력
논문영향력
주제
주제별 논문수
주제별 피인용횟수
주제별 논문영향력
주제어
Computer-Assisted Pronuncia ...
7
0
0.0%
Speaker Embedding
3
0
0.0%
Voice Conversion
2
0
0.0%
음성변환
8
0
0.0%
컴퓨터 보조 발음 학습
2
0
0.0%
화자 임베딩
5
0
0.0%
계
27
0
0.0%
* 다른 주제어 보유 논문에서 피인용된 횟수
0
닫기
' Does the Speaker Embedding Encode Speech Rhythm?'
의 참고문헌
Zero-shot multi-speaker text-to-speech with state-of-the-art neural speaker embeddings
Cooper, E.
[2020]
X-vectors: Robust dnn embeddings for speaker recognition
Snyder, D.
[2018]
What does the speaker embedding encode?
Wang, S.
[2017]
VoxCeleb: A large-scale speaker identification dataset
Nagrani, A.
[2017]
VoxCeleb2: Deep speaker recognition
Chung, J. S.
[2018]
Visualizing data using t-SNE
Van der Maaten, L.
[2008]
Visualization and interpretation of latent spaces for controlling expressive speech synthesis through audio analysis
Tits, N
Using Jitter and Shimmer in speaker verification
Farrus, M.
[2009]
Unified hypersphere embedding for speaker recognition
Hajibabaei, M.
Transfer learning from speaker verification to multispeaker text-to-speech synthesis
Jia, Y
The usefulness of metrics in the quantification of speech rhythm
Arvaniti, A.
[2012]
The pedagogical use of mobile speech synthesis (TTS):Focus on French liaison
Liakin, D.
[2017]
The effects of aging on acoustic parameters of voice
Dehqan, A.
[2012]
TTS in EFL CALL: Some pedagogical considerations
Sobkowiak, W.
[2003]
Speech technologies for pronunciation feedback and evaluation
Hincks, R.
[2003]
Speaker-individuality in suprasegmental temporal features:Implications for forensic voice comparison
Leemann, A.
[2014]
Speaker identification based on speech rhythm: The case of bilinguals
Dellwo, V.
[2012]
Rhythmic variability between speakers: Articulatory, prosodic, and linguistic factors
Dellwo, V.
[2015]
Real-time voice cloning
Jemine, C
[2019]
Praat: Doing phonetics by computer (version 6.1.38)
Boersma, P.
Mandarin rhythm : An Acoustic study
Lin, H.
[2007]
Librispeech: an asr corpus based on public domain audio books
Panayotov, V.
[2015]
Learning L2 pronunciation with a mobile speech recognizer : French/y/
Liakin, D.
[2015]
Large margin softmax loss for speaker verification
Liu, Y.
[2019]
Language and language-processing
Dellwo, V.
[2006]
Language Teaching & Language Technology
Witt, S.
[1998]
Laboratory phonology 7
Grabe, E.
[2002]
In defence of metric learning for speaker recognition
Chung, J. S.
Improving pronunciation via accent reduction and text-to-speech software
Kılıçkaya, F.
How stable are acoustic metrics of contrastive speech rhythm?
Wiget, L.
[2010]
Harmonics-to-noise ratio : An index of vocal aging
Ferrand, C. T.
[2002]
Generalized end-to-end loss for speaker verification
Wan, L.
[2018]
Foreign accent conversion in computer assisted pronunciation training
Felps, D.
[2009]
Evaluating the efficiency of synthetic voice for providing corrective feedback in a pronunciation training tool based on minimal pairs
Tejedor-Garcıa, C.
[2017]
Evaluating Score Reliability of Automatic English Pronunciation Assessment System for Education
홍연정
[2021]
Effects of explicit and implicit instruction on the speech intelligibility of L2 pronunciation
장주현
[2017]
Do rhythm measures tell us anything about language type
Barry, W. J.
[2003]
Deep speaker feature learning for text-independent speaker verification
Li, L
DARPA TIMIT acoustic-phonetic continous speech corpus CD-ROM
Garofolo, J. S.
[1993]
Correlates of linguistic rhythm in the speech signal
Ramus, F.
[1999]
Capturing inter-speaker invariance using statistical measures of speech rhythm
Yoon, T. J.
[2010]
Attention is all you need
Vaswani, A
Acoustic analysis in the diagnosis of voice disorders in children
Niedzielska, G.
[2001]
Acoustic analyses of sustained and running voices from patients with laryngeal pathologies
Zhang, Y.
[2008]
' Does the Speaker Embedding Encode Speech Rhythm?'
의 유사주제(
) 논문