By Juan Luis Navarro Mesa, Alfonso Ortega, António Teixeira, Eduardo Hernández Pérez, Pedro Quintana Morales, Antonio Ravelo García, Iván Guerra Moreno, Doroteo T. Toledano (eds.)
This booklet constitutes the refereed lawsuits of the IberSPEECH 2014 convention, held in Las Palmas de Gran Canaria, Spain, in November 19-21, 2014. The 29 papers provided have been conscientiously reviewed and chosen from 60 submissions. The papers are prepared in topical sections on speech construction, research, coding and synthesis; speaker and language characterization; automated speech acceptance; speech of language applied sciences in several software fields.
Read or Download Advances in Speech and Language Technologies for Iberian Languages: Second International Conference, IberSPEECH 2014, Las Palmas de Gran Canaria, Spain, November 19-21, 2014. Proceedings PDF
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Extra resources for Advances in Speech and Language Technologies for Iberian Languages: Second International Conference, IberSPEECH 2014, Las Palmas de Gran Canaria, Spain, November 19-21, 2014. Proceedings
Acoustic mapping Acoustic model Acoustic features w/ dynamic info. Parameter generation ACOUSTIC FEATURE GENERATION Acoustic features Waveform synthesis Waveforms Timestamps Track montage Audio track Fig. 1. System overview Statistical Text-to-Speech Synthesis of Spanish Subtitles 43 orthography is highly phonemic, this conversion is carried out without much loss. g. proper nouns of people). The module also extracts contextual information of each phoneme, syllable and word, and then employs it to create context-dependent (CD) phonemes .
IEEE Transactions on Audio Speech and Language Processing 21(10), 2129–2139 (2013) 22. : Text-to-speech synthesizer based on combination of composite wavelet and hidden Markov models. In: Proceedings of the 8th ISCA Speech Synthesis Workshop, pp. 129–134 (2013) 23. : Harmonic plus noise models for speech, combined with statistical methods, for speech and speaker modification. D. thesis, École Nationale Supèrieure de Télécommunications, Paris (1996) 24. : Efficient spectral envelope estimation from harmonic speech signals.
A comparative MOS (CMOS) was calculated by assigning an integer score between -2 and 2 to each option and averaging all individual scores. Negative scores denote preference for two-period windows, positive scores denote preference for longer windows, and 0 denotes no preference. The resulting CMOSs and their corresponding 95% confidence intervals are shown in Fig. 3. First, let us remark that less than one third of the scores denoted uncertainty (see Fig. 3a), which means that the differences between methods were audible most of the time.
Advances in Speech and Language Technologies for Iberian Languages: Second International Conference, IberSPEECH 2014, Las Palmas de Gran Canaria, Spain, November 19-21, 2014. Proceedings by Juan Luis Navarro Mesa, Alfonso Ortega, António Teixeira, Eduardo Hernández Pérez, Pedro Quintana Morales, Antonio Ravelo García, Iván Guerra Moreno, Doroteo T. Toledano (eds.)