{"product_id":"improvements-in-speech-synthesis-isbn-9780471499855","title":"Improvements in Speech Synthesis","description":"Naturalness in synthetic speech is one of the most intractable problems in information technology today. Although speech synthesis systems have improved considerably over the last 20 years, they rarely sound entirely like human speakers. \u003cbr\u003e \u003cbr\u003e  Why is this so, and what can be done about it? \u003cbr\u003e * Prosodic processing must be rendered more varied and more appropriate to the speech situation\u003cbr\u003e \u003cbr\u003e \u003cbr\u003e * Timing, melodic control and the relationships between the various prosodic parameters need increased attention\u003cbr\u003e \u003cbr\u003e \u003cbr\u003e * Signal processing systems must be developed and perfected that are capable of generating more than just one voice from a database\u003cbr\u003e \u003cbr\u003e \u003cbr\u003e * A better understanding must be achieved of what distinguishes one voice from another, and of how speech styles differ between simply reading aloud numbers and sentences and their use in interactive speech \u003cbr\u003e \u003cbr\u003e \u003cbr\u003e * New evaluation methodologies should be developed to provide objective and subjective measurements of the intelligibility of the synthetic speech and the cognitive load imposed upon the listener by impoverished stimuli \u003cbr\u003e \u003cbr\u003e \u003cbr\u003e * Adequate text markup systems must be proposed and tested with multiple languages in real-world situations\u003cbr\u003e \u003cbr\u003e \u003cbr\u003e * Further research is required to integrate speech synthesis systems into larger natural-language processing systems \u003cbr\u003e  Improvements in Speech Synthesis presents the latest research in the above areas. Contributors include speech synthesis specialists from 16 countries, with experience in the development of systems for 12 European languages. This volume emerges from a four-year European COST project focussed on \"The Naturalness of Synthetic Speech\", and will be a valuable text for everyone involved in speech synthesis.  List of Contributors.\u003cbr\u003e \u003cbr\u003e Preface.\u003cbr\u003e \u003cbr\u003e PART I: ISSUES IN SIGNAL GENERATION.\u003cbr\u003e \u003cbr\u003e Towards Greater Naturalness: Future Directions of Research in Speech Synthesis (Keller, E.).\u003cbr\u003e \u003cbr\u003e Towards More Versatile Signal Generation Systems (Bailly, G).\u003cbr\u003e \u003cbr\u003e A Parametric Harmonic + Noise Model (Bailly, G.).\u003cbr\u003e \u003cbr\u003e The COST 258 Signal Generation Test Array (Bailly, G.).\u003cbr\u003e \u003cbr\u003e Concatenative Text-to-Speech Synthesis Based on Sinusoidal Modelling (Banga, E.R. et al).\u003cbr\u003e \u003cbr\u003e Shape Invariant Pitch and Time-Scale Modification of Speech Based on a Harmonic Model (O'Brien, D. \u0026amp; Monaghan, A.).\u003cbr\u003e \u003cbr\u003e Concatenative Speech Synthesis Using SRELP (Rank, E.).\u003cbr\u003e \u003cbr\u003e PART II: ISSUES IN PROSODY.\u003cbr\u003e \u003cbr\u003e Prosody in Synthetic Speech: Problems, Solutions and Challenges (Monaghan, A.).\u003cbr\u003e \u003cbr\u003e State-of-the-Art Summary of European Synthetic Prosody R\u0026amp;D (Monaghan,A.).\u003cbr\u003e \u003cbr\u003e Modelling F0 Contour in Various Romance Languages: Implementation in Some TTS Systems (Martin, P.).\u003cbr\u003e \u003cbr\u003e Acoustic Characterisation of the Tonic Syllable in Portuguese (Teixeira, J.P. and Freitas, D.).\u003cbr\u003e \u003cbr\u003e Prosodic Parameter of Synthetic Czech: Developing Rules for Duration and Intensity (Dohalska, M. et al).\u003cbr\u003e \u003cbr\u003e MFGI, a Linguistically Motivated Quantitative Model of German Prosody (Mixdorff, H.).\u003cbr\u003e \u003cbr\u003e Improvements in Modelling the FO Contour for Different Types of Intonation Units in Slovene (Dobnikar, A.).\u003cbr\u003e \u003cbr\u003e  Representing Speech Rhythm (Keller, B.Z. and Keller, E.).\u003cbr\u003e \u003cbr\u003e Phonetic and Timing Considerations in a Swiss High German TTS System (Siebenhaar, B. et al).\u003cbr\u003e \u003cbr\u003e Corpus-based Development of Prosodic Models Across Six Languages (Fackrell, J. et al).\u003cbr\u003e \u003cbr\u003e Vowel Reduction in German Read Speech (Widera, C.).\u003cbr\u003e \u003cbr\u003e PART III: ISSUES IN STYLES OF SPEECH.\u003cbr\u003e \u003cbr\u003e Variability and Speaking Styles in Speech Synthesis (Terken, J.).\u003cbr\u003e \u003cbr\u003e An Auditory Analysis of the Prosody of Fast and Slow Speech Styles in English, Dutch and German (Monaghan, A.).\u003cbr\u003e \u003cbr\u003e Automatic Prosody Modelling of Galician and its Application to Spanish (Gonzalo, E.L. et al).\u003cbr\u003e \u003cbr\u003e Reduction and Assimilatory Processes in Conversational French Speech: Implications for Speech Synthesis (Duez, D.).\u003cbr\u003e \u003cbr\u003e Acoustic Patterns of Emotions (Pollermann, B.Z. and Archinard, M).\u003cbr\u003e \u003cbr\u003e The Role of Pitch and Tempo in Spanish Emotional Speech: Towards Concatenative Synthesis (Montero, J.M. et al).\u003cbr\u003e \u003cbr\u003e Voice Quality and the Synthesis of Affect (Chasaide, A.N. and Gobl, C.).\u003cbr\u003e \u003cbr\u003e  Prosodic Parameters of a 'Fun' Speaking Style(Gustafson, K. and House, D.).\u003cbr\u003e \u003cbr\u003e Dynamics of the Glottal Source Signal: Implications for Naturalness in Speech Synthesis (Gobl, C. and Chasaide, A.N.).\u003cbr\u003e \u003cbr\u003e A Nonlinear Rhythmic Components in Various Styles of Speech (Keller, B.Z. ad Keller, Ec.).\u003cbr\u003e \u003cbr\u003e PART IV: ISSUES IN SEGMENTATION AND MARK-UP.\u003cbr\u003e \u003cbr\u003e Issues in Segmentation and Mark-UP (Huckvale, M.).\u003cbr\u003e \u003cbr\u003e The Use and Potential of Extensible Mark-UP (XML) in Speech Generation (Huckvale, M.).\u003cbr\u003e \u003cbr\u003e Mark-Up for Speech Synthesis: A Review and Some Suggestions (Monaghan, A.).\u003cbr\u003e \u003cbr\u003e Automatic Analysis of Prosody for Multi-lingual Speech Corpora (Hirst,D.).\u003cbr\u003e \u003cbr\u003e Automatic Speech Segmentation Based on Alignment with a Text-to-Speech System (Horak, P.).\u003cbr\u003e \u003cbr\u003e Using the COST 249 Reference Speech Recogniser for Automatic Speech Segmentation (Warakagoda, N.D. and Natvig, J.E.).\u003cbr\u003e \u003cbr\u003e PART V: FUTURE CHALLENGES.\u003cbr\u003e \u003cbr\u003e Future Challenges (Keller, E.).\u003cbr\u003e \u003cbr\u003e Towards Naturalness, or the Challenge of Subjectivenss (Caerlen-Haumont, G.).\u003cbr\u003e \u003cbr\u003e Synthesis within Multi-Modal Systems (Breen, A.).\u003cbr\u003e \u003cbr\u003e A Multi-Modal Speech Synthesis Tool Applied to Audio-Visual Prosody (Beskow, J et al).\u003cbr\u003e \u003cbr\u003e Interface Design for Speech Synthesis Systems (Flach, G.).\u003cbr\u003e \u003cbr\u003e Index.  \u003cstrong\u003eE. Keller\u003c\/strong\u003e is the editor of Improvements in Speech Synthesis: Cost 258: The Naturalness of Synthetic Speech, published by Wiley. \u003cp\u003e\u003cstrong\u003eG. Bailly\u003c\/strong\u003e is the editor of Improvements in Speech Synthesis: Cost 258: The Naturalness of Synthetic Speech, published by Wiley.   Naturalness in synthetic speech is one of the most intractable problems in information technology today. Although speech synthesis systems have improved considerably over the last 20 years, they rarely sound entirely like human speakers.  \u003c\/p\u003e\u003cp\u003eWhy is this so, and what can be done about it?\u003c\/p\u003e \u003cul li=\"\"\u003e \u003cli style=\"list-style: none\"\u003eProsodic processing must be rendered more varied and more appropriate to the speech situation\u003c\/li\u003e \u003cli\u003eTiming, melodic control and the relationships between the various prosodic parameters need increased attention\u003c\/li\u003e \u003cli\u003eSignal processing systems must be developed and perfected that are capable of generating more than just one voice from a database\u003c\/li\u003e \u003cli\u003eA better understanding must be achieved of what distinguishes one voice from another, and of how speech styles differ between simply reading aloud numbers and sentences and their use in interactive speech\u003c\/li\u003e \u003cli\u003eNew evaluation methodologies should be developed to provide objective and subjective measurements of the intelligibility of the synthetic speech and the cognitive load imposed upon the listener by impoverished stimuli\u003c\/li\u003e \u003cli\u003eAdequate text markup systems must be proposed and tested with multiple languages in real-world situations\u003c\/li\u003e \u003cli\u003eFurther research is required to integrate speech synthesis systems into larger natural-language processing systems\u003c\/li\u003e \u003c\/ul\u003e \u003ci\u003eImprovements in Speech Synthesis\u003c\/i\u003e presents the latest research in the above areas. Contributors include speech synthesis specialists from 16 countries, with experience in the development of systems for 12 European languages. This volume emerges from a four-year European COST project focussed on \"The Naturalness of Synthetic Speech\", and will be a valuable text for everyone involved in speech synthesis.","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989408170213,"sku":"NP9780471499855","price":375.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471499855.jpg?v=1761783989","url":"https:\/\/k12savings.com\/es\/products\/improvements-in-speech-synthesis-isbn-9780471499855","provider":"K12savings","version":"1.0","type":"link"}