Literatura científica selecionada sobre o tema "Glottal excitation source"
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Artigos de revistas sobre o assunto "Glottal excitation source"
Muhammad, Ghulam, Mansour Alsulaiman, Zulfiqar Ali, Tamer A. Mesallam, Mohamed Farahat, Khalid H. Malki, Ahmed Al-nasheri e Mohamed A. Bencherif. "Voice pathology detection using interlaced derivative pattern on glottal source excitation". Biomedical Signal Processing and Control 31 (janeiro de 2017): 156–64. http://dx.doi.org/10.1016/j.bspc.2016.08.002.
Texto completo da fonteSeshadri, Guruprasad, e B. Yegnanarayana. "Perceived loudness of speech based on the characteristics of glottal excitation source". Journal of the Acoustical Society of America 126, n.º 4 (2009): 2061. http://dx.doi.org/10.1121/1.3203668.
Texto completo da fonteP., Bosebabu, Bhargavi A., Vijayalakshmi P. e Surabhi Jyostna Roja R. "VLSI Architecture for Zero Frequency Filter". International Journal of Advance Research and Innovation 8, n.º 2 (2020): 81–86. http://dx.doi.org/10.51976/ijari.822014.
Texto completo da fonteNandakishor, Salam, e Debadatta Pati. "Usefulness of glottal excitation source information for audio-visual speech recognition system". International Journal of Speech Technology, 14 de novembro de 2023. http://dx.doi.org/10.1007/s10772-023-10060-x.
Texto completo da fonteCruz, T., M. Coriolano, H. Silva, A. Gomes e Z. Lira. "The immediate effect of vocal technique associated with virtual reality game in people with Parkinsons disease". European Journal of Public Health 30, Supplement_2 (1 de junho de 2020). http://dx.doi.org/10.1093/eurpub/ckaa040.006.
Texto completo da fonteRocha, Raissa Bezerra, Wamberto José Lira de Queiroz e Marcelo Sampaio de Alencar. "Voice production model based on phonation biophysics". EURASIP Journal on Advances in Signal Processing 2021, n.º 1 (8 de setembro de 2021). http://dx.doi.org/10.1186/s13634-021-00746-2.
Texto completo da fonteTeses / dissertações sobre o assunto "Glottal excitation source"
Huber, Stefan. "Voice Conversion by modelling and transformation of extended voice characteristics". Electronic Thesis or Diss., Paris 6, 2015. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2015PA066750.pdf.
Texto completo da fonteVoice Conversion (VC) aims at transforming the characteristics of a source speaker’s voice in such a way that it will be perceived as being uttered by a target speaker. The principle of VC is to define mapping functions for the conversion from one source speaker’s voice to one target speaker’s voice. The transformation functions of common State-Of-The-Art (START) VC system adapt instantaneously to the characteristics of the source voice. While recent VC systems have made considerable progress over the conversion quality of initial approaches, the quality is nevertheless not yet sufficient. Considerable improvements are required before VC techniques can be used in an professional industrial environment. The objective of this thesis is to augment the quality of Voice Conversion to facilitate its industrial applicability to a reasonable extent. The basic properties of different START algorithms for Voice Conversion are discussed on their intrinsic advantages and shortcomings. Based on experimental evaluations of one GMM-based State-Of-The-Art VC approach the conclusion is that most VC systems which rely on statistical models are, due to averaging effect of the linear regression, less appropriate to achieve a high enough similarity score to the target speaker required for industrial usage. The contributions established throughout this thesis work lie in the extended means to a) model the glottal excitation source, b) model a voice descriptor set using a novel speech system based on an extended source-filter model, and c) to further advance IRCAM’s novel VC system by combining it with the contributions of a) and b)
Trabalhos de conferências sobre o assunto "Glottal excitation source"
Mittal, V. K., N. Dhananjaya e Bayya Yegnanarayana. "Effect of tongue tip trilling on the glottal excitation source". In Interspeech 2012. ISCA: ISCA, 2012. http://dx.doi.org/10.21437/interspeech.2012-439.
Texto completo da fonteGuruprasad, S., B. Yegnanarayana e K. Sri Rama Murty. "Detection of instants of glottal closure using characteristics of excitation source". In Interspeech 2007. ISCA: ISCA, 2007. http://dx.doi.org/10.21437/interspeech.2007-248.
Texto completo da fonteRaitio, Tuomo, Antti Suni, Hannu Pulakka, Martti Vainio e Paavo Alku. "Utilizing glottal source pulse library for generating improved excitation signal for HMM-based speech synthesis". In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5947370.
Texto completo da fonte