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Proceedings ArticleDOI

An approach to building language-independent text-to-speech synthesis for Indian languages

TLDR
A common framework for Indian languages with a common phone set and a common question set is proposed, indicating that system building can be made language-independent without much degradation in the quality of synthesised speech.
Abstract
A popular speech synthesis method is the HMM based speech synthesis method. Given the phone set and question set for a language, HMM based synthesis systems are built. Although robotic in quality the systems are intelligible. In this paper, we propose a common framework for Indian languages with a common phone set and a common question set. Owing to this architecture it is possible to borrow independent monophone models across languages. Degradation MOS and word error rate scores are comparable to systems built in the conventional language-specific manner, indicating that system building can be made language-independent without much degradation in the quality of synthesised speech.

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Citations
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Book ChapterDOI

A Unified Parser for Developing Indian Language Text to Speech Synthesizers

TL;DR: The design of a language independent parser for text-to-speech synthesis in Indian languages is described and the accuracy of the phoneme sequences generated by the proposed parser is more accurate than that of language specific parsers.
Proceedings ArticleDOI

Building Multilingual End-to-End Speech Synthesisers for Indian Languages

TL;DR: Subjective evaluations indicate that reasonably good quality Indic TTSes can be developed using both approaches, which emphasises the need to incorporate multilingual text processing in the end-to-end framework.
Proceedings ArticleDOI

Development of Assamese Text-to-speech synthesis system

TL;DR: A significant improvement in the synthesized voice is observed by ensuring uniform speaking rate, controlling variation in the signal amplitude level, and avoiding dc wandering and clipping during data collection.
Proceedings ArticleDOI

Acoustic Analysis of Syllables Across Indian Languages.

TL;DR: Degradation mean opinion scores and word error rates indicate that the quality of synthesised speech is comparable to that of TTSes developed by segmenting the data using language-specific HMMs.
Journal ArticleDOI

Polyglot Speech Synthesis: A Review

TL;DR: This report reviews existing efforts in the literature to develop a polyglot TTS and discusses the pros and cons of different methods and mentions possible directions to overcome the limitations.
References
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Journal ArticleDOI

Statistical Parametric Speech Synthesis

TL;DR: This paper gives a general overview of techniques in statistical parametric speech synthesis, and contrasts these techniques with the more conventional unit selection technology that has dominated speech synthesis over the last ten years.
Proceedings ArticleDOI

Unit selection in a concatenative speech synthesis system using a large speech database

TL;DR: In this paper, a state transition network is proposed to select and concatenate phonemes from a large speech database to produce a natural realisation of a target phoneme sequence predicted from text which is annotated with prosodic and phonetic context information.
Proceedings ArticleDOI

Statistical Parametric Speech Synthesis

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Journal ArticleDOI

The SUS test: a method for the assessment of text-to-speech synthesis intelligibility using semantically unpredictable sentences

TL;DR: The Semantically Unpredictable Sentences (SUS) test as discussed by the authors was used by the SAM (ESPRIT-BRA Project no. 2589) group for evaluating the intelligibility of text-to-speech systems at sentence level.
Journal ArticleDOI

Measuring speech quality for text-to-speech systems: development and assessment of a modified mean opinion score (MOS) scale

TL;DR: This research presents conceptual arguments and empirical evidence for the reliability and validity of a modified scale of speech quality and employs state of the art psychometric techniques such as confirmatory factor analysis to provide strong tests of psychometric properties.
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