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Investigating deep neural structures and their interpretability in the domain of voice conversion
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A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments
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In: Language Resources and Evaluation Conference (LREC) ; https://hal.archives-ouvertes.fr/hal-01807093 ; Language Resources and Evaluation Conference (LREC), Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Pi, May 2018, Miyazaki, Japan (2018)
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A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments ...
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Ressources pour l'apprentissage, le développement et l'évaluation des systêmes de dictée vocale en français : corpus de texte, de parole et lexical
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In: http://infoscience.epfl.ch/record/97977 (2006)
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Translanguage English Database (TED) Transcripts
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Kipp, A; Lamel, L; Mariani, J; Schiel, F; Martey, N; Miller, D A.; Jones, K T.; Dunn, S; Markoff, R. - : Linguistic Data Consortium, 2002. : https://www.ldc.upenn.edu, 2002
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Abstract:
*Introduction* Translanguage English Database (TED) Transcripts consists of transcripts of presentations by 39 native English and non-native English speakers at the Third European Conference on Speech Communication and Technology, EUROSPEECH 1993 in Berlin, Germany. This is a joint publication with the European Language Resources Association (ELRA) sponsored in part by National Science Foundation Grant No. IIS-9982201. The data set is released by ELRA as Translanguage English Database (TED) Transcripts database (ELRA-S0120). *Data* The transcripts in this release were developed by the Linguistic Data Consortium and are a subset of the speech recordings in Translanguage English Database (TED) Speech LDC2002S04 and ELRA publication ELRA-S0031. The transcripts are in Universal Transcription Format (UTF). All UTF files were validated against a utf.dtd. Tables containing speaker demographic information and cross-references of file names from the TED audio corpus are included this release. A transcript sample is available here. *Updates* There are no updates at this time
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URL: https://catalog.ldc.upenn.edu/LDC2002T03
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