Transcriber: Development and use of a tool for assisting speech corpora production

Barras, Claude; Geoffrois, Edouard; Wu, Zhen; Liberman, Mark

doi:10.1016/s0167-6393(00)00067-4

Cited by 190 publications

(115 citation statements)

References 11 publications

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“…That is, they concern very general structural characteristics of annotation data, and they do not say very much about their semantics. 3 While a high level of abstraction is non-temporal interpretation of start and end points -for instance, when the annotated object is not a recording, but a written text. 2 In contrast to EXMARaLDA, however, ELAN places certain restrictions on the sharing of anchors.…”

Section: Semantic Specifications and Constraintsmentioning

confidence: 99%

“…This is a kind of object-oriented approach to managing time anchors. 3 It is in this sense that Bird/Liberman (2001:55) call their AG framework "ontologically parsimonious (if not positively miserly!)" beneficial to interoperability in many ways, actual applications profit from more concrete semantic specifications.…”

Section: Semantic Specifications and Constraintsmentioning

confidence: 99%

See 1 more Smart Citation

An Exchange Format for Multimodal Annotations

et al. 2009

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This paper presents the results of a joint effort of a group of multimodality researchers and tool developers to improve the interoperability between several tools used for the annotation and analysis of multimodality. Each of the tools has specific strengths so that a variety of different tools, working on the same data, can be desirable for project work. However this usually requires tedious conversion between formats. We propose a common exchange format for multimodal annotation, based on the annotation graph (AG) formalism, which is supported by import and export routines in the respective tools. In the current version of this format the common denominator information can be reliably exchanged between the tools, and additional information can be stored in a standardized way.

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Section: Semantic Specifications and Constraintsmentioning

confidence: 99%

Section: Semantic Specifications and Constraintsmentioning

confidence: 99%

An Exchange Format for Multimodal Annotations

et al. 2009

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“…The French corpora were orthographically transcribed with Transcriber, a tool for segmenting, labeling and transcribing speech (Barras et al [6]). The English data were transcribed using a standard text editor.…”

Section: Corpusmentioning

confidence: 99%

“…Number of occurrences of all dialog acts in the 3912 utterance units of the training corpus, grouped by class (1)(2)(3)(4)(5)(6)(7)(8).…”

Section: Dialogic Annotationmentioning

confidence: 99%

Multi-level information and automatic dialog act detection in human–human spoken dialogs

Rosset

Tribout

Lamel

2008

Speech Communication

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“…To this purpose, 704 videolectures in Spanish corresponding to 115 hours were manually transcribed using the tool Transcriber [15], so as to provide in-domain dataset for training, adaptation and internal evaluations in the transLectures project (see Table 1). These transcribed videolectures were selected so that authors had granted open access to their content.…”

Section: Introductionmentioning

confidence: 99%

Integrating a State-of-the-Art ASR System into the Opencast Matterhorn Platform

Miró

Martos

Civera

et al. 2012

Advances in Speech and Language Technologies for Iberian Languages

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Abstract. In this paper we present the integration of a state-of-the-art ASR system into the Opencast Matterhorn platform, a free, open-source platform to support the management of educational audio and video content. The ASR system was trained on a novel large speech corpus, known as poliMedia, that was manually transcribed for the European project transLectures. This novel corpus contains more than 115 hours of transcribed speech that will be available for the research community. Initial results on the poliMedia corpus are also reported to compare the performance of different ASR systems based on the linear interpolation of language models. To this purpose, the in-domain poliMedia corpus was linearly interpolated with an external large-vocabulary dataset, the wellknown Google N-Gram corpus. WER figures reported denote the notable improvement over the baseline performance as a result of incorporating the vast amount of data represented by the Google N-Gram corpus.

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Transcriber: Development and use of a tool for assisting speech corpora production

Cited by 190 publications

References 11 publications

An Exchange Format for Multimodal Annotations

An Exchange Format for Multimodal Annotations

Multi-level information and automatic dialog act detection in human–human spoken dialogs

Integrating a State-of-the-Art ASR System into the Opencast Matterhorn Platform

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