Výsledky vyhledávání - "Statistical speech synthesis"

Spoofing voice verification systems with statistical speech synthesis using limited adaptation data

Autor: Amir H. Mohammadi, Cenk Demiroglu, Ali Khodabakhsh

Publikováno v: Computer Speech & Language. 42:20-37

State-of-the-art speaker verification systems are vulnerable to spoofing attacks using speech synthesis. To solve the issue, high-performance synthetic speech detectors (SSDs) for attack methods have been proposed recently. Here, as opposed to develo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5467a4e4c74f5a24695c7574fccf261
https://doi.org/10.1016/j.csl.2016.08.004

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Prosodic and Spectral iVectors for Expressive Speech Synthesis

Autor: Antonio Bonafonte, Igor Jauk

Publikováno v: SSW
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
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This work presents a study on the suitability of prosodic andacoustic features, with a special focus on i-vectors, in expressivespeech analysis and synthesis. For each utterance of two dif-ferent databases, a laboratory recorded emotional acted speec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7ae6a57709fee7369f61fbcc0908402
https://doi.org/10.21437/ssw.2016-10

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Hybrid statistical/unit-selection Turkish speech synthesis using suffix units

Autor: Ekrem Guner, Cenk Demiroglu

Due to copyright restrictions, the access to the full text of this article is only available via subscription. Unit selection based text-to-speech synthesis (TTS) has been the dominant TTS approach of the last decade. Despite its success, unit select

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3069c2f0310f4f72ee776c289c9d45d1
http://link.springer.com/article/10.1186/s13636-016-0082-0

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Cross-lingual speaker adaptation for statistical speech synthesis using limited data

Autor: Cenk Demiroglu, Seyyed Saeed Sarfjoo

Publikováno v: INTERSPEECH

Cross-lingual speaker adaptation with limited adaptation data has many applications such as use in speech-to-speech translation systems. Here, we focus on cross-lingual adaptation for statistical speech synthesis (SSS) systems using limited adaptatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6b1e201a36bbb309e81b81da3dee069
https://hdl.handle.net/10679/4758

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Spoofing attacks to i-vector based voice verification systems using statistical speech synthesis with additive noise and countermeasure

Autor: Ali Khodabakhsh, Amir H. Mohammadi, Cenk Demiroglu, Mustafa Caner Ozbay

Publikováno v: EUSIPCO

Even though improvements in the speaker verification (SV) technology with i-vectors increased their real-life deployment, their vulnerability to spoofing attacks is a major concern. Here, we investigated the effectiveness of spoofing attacks with sta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6efa0ff0d95c9e9fb5a5e49dbc366c7f
https://hdl.handle.net/10679/4798

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Dissertation/ Thesis

Synthèse de parole expressive à partir du texte : Des phonostyles au contrôle gestuel pour la synthèse paramétrique statistique

Autor: Evrard, Marc

L’objectif de cette thèse est l’étude et la conception d’une plateforme de synthèse de parole expressive.Le système de synthèse — LIPS3, développé dans le cadre de ce travail, incorpore deux éléments : un module linguistique et un mo

Externí odkaz: http://www.theses.fr/2015PA112202

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Eigenvoice speaker adaptation with minimal data for statistical speech synthesis systems using a MAP approach and nearest-neighbors

Autor: Seyyed Saeed Sarfjoo, Amir H. Mohammadi, Cenk Demiroglu

Due to copyright restrictions, the access to the full text of this article is only available via subscription. Statistical speech synthesis (SSS) systems have the ability to adapt to a target speaker with a couple of minutes of adaptation data. Devel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29391fa8447f77054d00371be48f3b9f
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6918404&tag=1

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Hybrid nearest-neighbor/cluster adaptive training for rapid speaker adaptation in statistical speech synthesis systems

Autor: Mohammadi, Amir, Demiroğlu, Cenk

Due to copyright restrictions, the access to the full text of this article is only available via subscription. Statistical speech synthesis (SSS) approach has become one of the most popular methods in the speech synthesis field. An advantage of the S

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1862::ececfe7cc84ffda619eb3e4a78815897
https://hdl.handle.net/10679/2375

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