We describe the first stage of a two-stage semialgorithmic approach to music performance rendering. In the first stage, we estimate the perceptual salience of immanent accents (phrasing, metrical, melodic, harmonic) in the musical score. In the second, we manipulate timing, dynamics and other performance parameters in the vicinity of immanent accents (e. g., getting slower and/or louder near an...

We present a new stochastic approach to estimate accurately phonemes and accents for Japanese TTS (Text-to-Speech) systems. Front-end process of TTS system assigns phonemes and accents to an input plain text, which is critical for creating intelligible and natural speech. Rule-based approaches that build hierarchical structures are widely used for this purpose. However, considering scalability ...

In a corpus containing speech data from seven dialects of English, we hand-labelled over 700 nuclear accents and identified seven accent types. Then we used four-term mathematical models to describe the fundamental frequency patterns associated with the accents. A statistical analysis showed that the models for six of the seven accents differed significantly from each other. Our hand-labels wer...

The ABI (Accents of the British Isles) speech corpus contains approximately 90 hours of speech from approximately 280 speakers representing 14 different regional accents of British and Irish English. ABI includes a combination of applicationsoriented and linguistically-motivated material. This paper describes experiments in which the ABI corpus is used to study the effects of these regional acc...

In this paper the distribution of nuclear accents in declaratives of four major dialects of Irish is described. The findings show considerable variation, particular between northern and southern dialects. Speakers of the northern dialect of Donegal show a propensity for rising nuclear accents (L*+H) in declaratives, while speakers of the other, more southern, dialects of Mayo, South Connaught a...

This paper presents the results of a pitch accent categorisation simulation which attempts to classify L*H and H*L accents using a psychologically motivated exemplar-theoretic model of categorisation. Pitch accents are represented in terms of six linguistically meaningful parameters describing their shape. No additional information is employed in the categorisation process. The results indicate...

Automatic Speech Recognition (ASR) is a key component in Human Computer Interaction (HCI) applications. Stability of ASR systems largely depends on accent, gender, age of speakers, background noise and channel variations. In this paper, a study has been conducted to classify five different accents of Urdu language spoken in Pakistan i.e. Punjabi, Urdu, Pashto, Saraiki and Sindhi. Speech data ha...

borrowing in different accents – similar to languages – is done because of the trade between that accent and other languages and accents and shows the dynamism of the accent. on the other hand it proves the relationship between different cultures in spite of their historical or geographical distance. by a deep research in syrian accent the borrowing from persian, turkish, french, italian and en...

This paper presents the results of a corpus study which examines the impact of frequency of occurrence of accented words on the realisation of pitch accents. In particular, statistical analyses explore this influence on pitch accent range and alignment. The results indicate a significant effect of frequency of occurrence on the relative height of L*H and H*L pitch accents and an also significan...