Matches in ScholarlyData for { ?s ?p ?o. }
- 57 label "Design and Data Collection for Spoken Polish Dialogs Database".
- 57 sameAs 57.
- 57 abstract "Spoken corpora provide a critical resource for research, development and evaluation of spoken dialog systems. This paper describes the telephone spoken dialog corpus for Polish created by Polish-Japanese Institute of Information Technology team within the LUNA project (IST 033549). The main goal of this project is to create a robust natural spoken language understanding (SLU) toolkit, which can be used to improve the speech-enabled telecom services in multilingual context (Italian, French and Polish). The corpus has been collected at the call center of Warsaw Transport Authority, manually transcribed and richly annotated on acoustic, syntactic and semantic levels. The most frequent users requests concern city traffic information (public transportation stops, routes, schedules, trip planning etc.). The collected database consists of two parts: 500 human-human dialogs of approx. 670 minutes long with a vocabulary of ca. 8,000 words and 500 human-machine dialogs recorded via the use of Wizard-of-Oz paradigm. The syntactic and semantic annotation is carried out by another team (Mykowiecka et al., 2007). This database is the first one collected for spontaneous Polish speech recorded through telecommunication lines and will be used for development and evaluation of automatic speech recognition (ASR) and robust natural spoken language understanding (SLU) components.".
- 57 hasAuthorList authorList.
- 57 hasTopic Linguistics.
- 57 isPartOf proceedings.
- 57 keyword "Corpus (creation, annotation, etc.)".
- 57 keyword "Dialogue & Natural Interactivity".
- 57 keyword "Speech resource/database".
- 57 title "Design and Data Collection for Spoken Polish Dialogs Database".
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- item-1 hasContent krzysztof-marasek.
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- item-2 hasContent ryszard-gubrynowicz.
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- 573 creator laurent-blin.
- 573 creator olivier-boeffard.
- 573 creator vincent-barreaud.
- 573 type InProceedings.
- 573 label "WEB-Based Listening Test System for Speech Synthesis and Speech Conversion Evaluation".
- 573 sameAs 573.
- 573 abstract "In this article, we propose a web based listening test system that can be used with a large range of listeners. Our main goals were to make the configuration of the tests as simple and flexible as possible, to simplify the recruiting of the testees and, of course, to keep track of the results using a relational database. This first version of our system can perform the most widely used listening tests in the speech processing community (AB-BA, ABX and MOS tests). It can also easily evolve and propose other tests implemented by the tester by means of a module interface. This scenario is explored in this article which proposes an implementation of a module for Comparison Mean Opinion Score (CMOS) tests and conduct of such an experiment. This test allowed us to extract from the BREF120 corpus a couple of voices of distinct supra-segmental characteristics. This system is offered to the speech synthesis and speech conversion community under free license.".
- 573 hasAuthorList authorList.
- 573 hasTopic Linguistics.
- 573 isPartOf proceedings.
- 573 keyword "Evaluation methodologies".
- 573 keyword "Tools, systems, applications".
- 573 keyword "Validation of LRs".
- 573 title "WEB-Based Listening Test System for Speech Synthesis and Speech Conversion Evaluation".
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- item-1 hasContent laurent-blin.
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- item-2 hasContent olivier-boeffard.
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- item-3 hasContent vincent-barreaud.
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- 574 creator christoph-draxler.
- 574 creator florian-schiel.
- 574 creator tania-ellbogen.
- 574 type InProceedings.
- 574 label "F0 of Adolescent Speakers First Results for the German Ph@ttSessionz Database".
- 574 sameAs 574.
- 574 abstract "The first release of the German Ph@ttSessionz speech database contains read and spontaneous speech from 864 adolescent speakers and is the largest database of its kind for German. It was recorded via the WWW in over 40 public schools in all dialect regions of Germany. In this paper, we present a cross-sectional study of f0 measurements on this database. The study documents the profound changes in male voices at the age 13-15. Furthermore, it shows that on a perceptive mel-scale, there is little difference in the relative f0 variability for male and female speakers. A closer analysis reveals that f0 variability is dependent on the speech style and both the length and the type of the utterance. The study provides statistically reliable voice parameters of adolescent speakers for German. The results may contribute to making spoken dialog systems more robust by restricting user input to utterances with low f0 variability.".
- 574 hasAuthorList authorList.
- 574 hasTopic Linguistics.
- 574 isPartOf proceedings.
- 574 keyword "Phonetic Databases, Phonology".
- 574 keyword "Speech recognition and understanding".
- 574 keyword "Speech resource/database".
- 574 title "F0 of Adolescent Speakers First Results for the German Ph@ttSessionz Database".
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- item-1 hasContent christoph-draxler.
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- item-2 hasContent florian-schiel.
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- item-3 hasContent tania-ellbogen.
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- 575 creator hitoshi-iida.
- 575 creator sumio-ohno.
- 575 creator yoshiko-arimoto.
- 575 type InProceedings.
- 575 label "Automatic Emotional Degree Labeling for Speakers Anger Utterance during Natural Japanese Dialog".
- 575 sameAs 575.
- 575 abstract "This paper describes a method of automatic emotional degree labeling for speaker s anger utterances during natural Japanese dialog. First, we explain how to record anger utterance naturally appeared in natural Japanese dialog. Manual emotional degree labeling was conducted in advance to grade the utterances by a 6 Likert scale to obtain a correct anger degree. Then experiments of automatic anger degree estimation were conducted to label an anger degree with each utterance by its acoustic features. Also estimation experiments were conducted with speaker-dependent datasets to find out any influence of individual emotional expression on automatic emotional degree labeling. As a result, almost all the speaker s models show higher adjusted R square so that those models are superior to the speaker-independent model in those estimation capabilities. However, a residual between automatic emotional degree and manual emotional degree (0.73) is equivalent to those of speaker s models. There still has a possibility to label utterances with the speaker-independent model.".
- 575 hasAuthorList authorList.
- 575 hasTopic Linguistics.
- 575 isPartOf proceedings.
- 575 keyword "Corpus (creation, annotation, etc.)".
- 575 keyword "Emotions".
- 575 title "Automatic Emotional Degree Labeling for Speakers Anger Utterance during Natural Japanese Dialog".
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