Download e-book for kindle: Data-Driven Techniques in Speech Synthesis by Robert I. Damper (auth.), Robert I. Damper (eds.)

By Robert I. Damper (auth.), Robert I. Damper (eds.)

ISBN-10: 1441947337

ISBN-13: 9781441947338

ISBN-10: 1475734131

ISBN-13: 9781475734133

Data-Driven options in Speech Synthesis provides a primary evaluate of this new box. All parts of speech synthesis from textual content are coated, together with textual content research, letter-to-sound conversion, prosodic marking and extraction of parameters to force synthesis undefined.
Fuelled through reasonable desktop processing and reminiscence, the fields of computing device studying specifically and synthetic intelligence as a rule are more and more exploiting methods within which huge databases act as implicit wisdom assets, instead of specific ideas manually written by way of specialists. Speech synthesis is one program sector the place the hot technique is proving powerfully potent, the reliance upon fragile expert wisdom having hindered its improvement long ago. This e-book presents the 1st evaluate of the hot subject, with contributions from prime foreign specialists.
Data-Driven concepts in Speech Synthesis is on the innovative of present examine, written through good revered specialists within the box. The textual content is concise and available, and publications the reader throughout the new know-how. The e-book will essentially attract examine engineers and scientists operating within the quarter of speech synthesis. in spite of the fact that, it's going to even be of curiosity to speech scientists and phoneticians in addition to managers and undertaking leaders within the telecommunications who want an appreciation of the services and capability of contemporary speech synthesis technology.

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Each training example has the following general form: where Lj is an element of the set of features representing the letter at position i (0 being the position of the target letter whose phoneme and stress we are trying to predict), Pj is an element of the set of features representing the phoneme at position i and Sj is an element of the set of features representing the stress at position i. During classification, we do not know the true value 38 for P-lt S-lo P-2, S-2, P-3, and S-3, so we use the values computed by previous predictions.

256). Macchi, Altom, Kahn, Singhal, and Spiegel (1993) have studied the effect of different coding methods on the intelligibility of the speech output. They found that residual-excited linear prediction (RELP) provided higher intelligibility than PSOLA for voiced consonants, which were assumed to be more sensitive to coding methods and pitch changes than vowels. This is somewhat against the usual claim that PSOLA gives higher quality than LPC. A variety of units has been used in synthesis by concatenation, including demisyllables (which seem to be most popular for the synthesis of GermanKraft and Andrews 1992), diphones (Charpentier and Stella 1986; Moulines and Charpentier 1990), a mixture of both (Portele, Hofer, and Hess 1997), contextdependent phoneme units (Huang et al.

Similarly negative pronouncements have been made at regular intervals. For instance, Sproat, Mobius, Maeda, and Tzoukermann (1998, p. " Until very recently, no sound basis existed to resolve the question of the relative performance of rule-based and data-based methods in automatic phonemisation. Arguably then, there was "no reason to believe that ... " the latter offered any advantage only because the required empirical comparison had never been made. This state of affairs was corrected when Damper, Marchand, Adamson, and Gustafson (1999) published a comparison of the performance of four representative approaches to automatic phonemisation on the same test dictionary (The Teacher's Word Book).

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Data-Driven Techniques in Speech Synthesis by Robert I. Damper (auth.), Robert I. Damper (eds.)

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