27 research outputs found

    In search of automatic rhythm analysis methods for Turkish and Indian art music

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    The aim of this paper is to identify and discuss various methods in computational rhythm description of Carnatic and Hindustani music of India, and Makam music of Turkey. We define and describe three relevant rhythm annotation tasks for these cultures—beat tracking, meter estimation, and downbeat detection. We then evaluate several methodologies from the state of the art in Music Information Retrieval (MIR) for these tasks, using manually annotated datasets of Turkish and Indian music. This evaluation provides insights into the nature of rhythm in these cultures and the challenges to automatic rhythm analysis. Our results indicate that the performance of evaluated approaches is not adequate for the presented tasks, and that methods that are suitable to tackle the culture specific challenges in computational analysis of rhythm need to be developed. The results from the different analysis methods enable us to identify promising directions for an appropriate exploration of rhythm analysis in Turkish, Carnatic and Hindustani music.This work is partly supported by the European Research Council under the European Union’s Seventh Framework Program, as part of the CompMusic project (ERC grant agreement 267583)

    Transonics: A Speech to Speech System for EnglishPersian Interactions

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    In this paper we describe the first phase of development of our speech-to-speech system between English and Modern Persian under the DARPA Babylon program. We give an overview of the various system components: the front end ASR, the machine translation system and the speech generation system. Challenges such as the sparseness of available spoken language data and solutions that have been employed to maximize the obtained benefits from using these limited resources are examined. Efforts in the creation of the user interface and the underlying dialog management system for mediated communication are described. 1

    The Transonics Spoken Dialogue Translator: An aid for English-Persian Doctor-Patient interviews, in Working Notes of the AAAI Fall symposium on Dialogue Systems for Health Communication

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    In this paper we describe our spoken english-persian medical dialogue translation system. We describe the data collection effort and give an overview of the component technologies, including speech recognition, translation, dialogue management, and user interface design. The individual modules and system are designed for flexibility, and to be able to leverage different amounts of available resources to maximize the ability for communication between medical care-giver and patient
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