A semantic-representation-to-speech system communicates orally the information given in a semantic representation. Such a system must Integrate a text generation module, a phonetic conversion module, a prosodic module and a speech synthesizer We wil l see how the syntactic information elaborated by the text generatlon module is used for both phonetic conversion and prosody, so as to produce the...

The goal of this paper is to create an extended rule corpus with approximately 2300 phonetic rules which model segmental variation of regional variants of German. The phonetic rules express at a broad-phonetic level phenomena of phonetic reduction in German that occurs within words and across word boundaries. In order to get an improvement in automatic segmentation of regional speech variants, ...

Consumer value is an essential aspect for the success of commercial platforms dealing with virtual music. It leads to successful adoption by end users. New value propositions being enabled by technological innovations are possible. In this paper we present recent work in the field of music information retrieval (MIR) satisfying the requirements, which have been proposed in value-based modeling ...

We present a novel approach to building a subword speech recognizer for the task of phonetic keyword search. The recognizer, which uses short fixed-length phonetic units, is trained with phonetic transcripts that are segmented into all possible substrings of 1, 2 and 3 phones, using a lattice representation to accommodate the overlapping units. We compare the keyword search accuracy of the prop...

The process of human segmentation and labelling of speech can be seen as a two-step process. In the first step humans listen to a speech signal, recognize the word and phoneme sequence, and roughly determine the position of each phonetic boundary. In the second step humans examine several speech signal features (waveform, energy, spectrogram, etc.) to place a phonetic boundary time mark where t...

Large vocabulary automatic speech recognition (ASR) technologies perform well in known, controlled contexts. However recognition of proper nouns is commonly considered as a difficult task. Accurate phonetic transcription of a proper noun is difficult to obtain, although it can be one of the most important resources for a recognition system. In this article, we propose methods of automatic phone...