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Developing Resources for Automated Speech Processing of Quebec French
In: Proceedings of the 12th Language Resources and Evaluation Conference ; 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-03042864 ; 12th Language Resources and Evaluation Conference, 2020, marseille, France. pp.5323-5328 (2020)
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Resources and Tools for Automated Speech Segmentation of the African Language Naija (Nigerian Pidgin)
In: Human Language Technology. Challenges for Computer Science and Linguistics. 8th Language and Technology Conference, LTC 2017, Poznań, Poland, November 17–19, 2017, Revised Selected Papers ; https://halshs.archives-ouvertes.fr/halshs-03097325 ; Vetulani, Z; Paroubek, P. Human Language Technology. Challenges for Computer Science and Linguistics. 8th Language and Technology Conference, LTC 2017, Poznań, Poland, November 17–19, 2017, Revised Selected Papers, 12598, Springer, pp.164-173, 2020, Human Language Technology. Challenges for Computer Science and Linguistics (2020)
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Does vocal tract use depend on language characteristics in spontaneous speech? ; La mobilisation du tractus vocal est-elle variable selon les langues en parole spontanée ?
In: Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 1 : Journées d'Études sur la Parole ; 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 1 : Journées d'Études sur la Parole ; https://hal.archives-ouvertes.fr/hal-02798569 ; 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 1 : Journées d'Études sur la Parole, Jun 2020, Nancy, France. pp.433-441 ; https://jep-taln2020.loria.fr/ (2020)
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"Cheese!": A corpus of face-to-face French interactions. A case study for analyzing smiling and conversational humor
In: Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02565645 ; Language Resources and Evaluation Conference, 2020, Marseille, France. pp.460-468 (2020)
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Smiling and humor in French conversations
In: 10th Humor Research Conference ; https://hal.archives-ouvertes.fr/hal-02565598 ; 10th Humor Research Conference, Mar 2020, Commerce, United States (2020)
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Annotation and annotation mining tools for analyzing speech prosody in the Polish-German Borderland database
In: 9th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics ; https://hal.archives-ouvertes.fr/hal-02428496 ; 9th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, May 2019, Poznań, Poland. pp.15-16 (2019)
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Search for Inter-Pausal Units: application to Cheese! corpus
In: 9th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics ; https://hal.archives-ouvertes.fr/hal-02428485 ; 9th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, May 2019, Poznań, Poland. pp.289-293 (2019)
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Filtering multi-levels annotated data
In: 9th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics ; https://hal.archives-ouvertes.fr/hal-02428491 ; 9th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, May 2019, Poznań, Poland. pp.13-14 (2019)
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9
Is smiling during humor so obvious? A cross-cultural comparison of smiling behavior in humorous sequences in American English and French interactions
In: ISSN: 1612-295X ; EISSN: 1613-365X ; Intercultural Pragmatics ; https://hal.archives-ouvertes.fr/hal-01923442 ; Intercultural Pragmatics, De Gruyter, 2018 (2018)
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Annotation representation and File conversion tool
In: ISSN: 0394-0705 ; Contributi del Centro Linceo Interdisciplinare ‘Beniamino Segre’ ; https://hal.archives-ouvertes.fr/hal-01908449 ; Contributi del Centro Linceo Interdisciplinare ‘Beniamino Segre’, 2018, 978-88-218-1165-4, 137, pp.99-116 (2018)
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Filled pause, laughter and noise in spontaneous speech: application to forced-alignment ; euh, rire et bruits en parole spontanée : application à l'alignement forcé
In: Actes des 32èmes journées d'étude sur la parole ; Journées d'études sur la parole ; https://hal.archives-ouvertes.fr/hal-01959445 ; Journées d'études sur la parole, Jun 2018, Aix-en-Provence, France (2018)
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Automatic Segmentation of Spontaneous Speech ; Segmentação automática da fala espontânea
In: Revista de Estudos da Linguagem ; https://hal.archives-ouvertes.fr/hal-01908434 ; Revista de Estudos da Linguagem , 2018, 26 (4), ⟨10.17851/2237-2083.26.4.1489-1530⟩ (2018)
Abstract: International audience ; Na maior parte dos casos, a análise de entidades fonéticas da fala exige o alinhamento da gravação da fala com sua transcrição fonética. Entretanto, os estudos sobre segmentação automática têm sido predominantemente desenvolvidos com amostras de fala lida ou fala preparada, uma vez que a fala espontânea refere-se a uma atividade mais informal, sem qualquer preparação. Como consequência, na fala espontânea numerosos fenômenos ocorrem, tais como: hesitações, repetições, feedback, backchannels, elisões não-padrão, fenômenos de redução, palavras truncadas, e mais comumente, pronúncias não-padrão. Eventos como o riso, ruídos e pausas preenchidas também são muito comuns na fala espontânea. Este artigo objetiva comparar a fala lida e a fala espontânea a fim de avaliar o impacto do estilo de fala numa tarefa de segmentação da fala. O artigo descreve a solução implementada no programa SPPAS para a segmentação automática da fala lida e da fala espontânea. Essa solução consiste de principalmente dois aspectos: suporte para uma Transcrição Ortográfica Enriquecida para a otimização da conversão grafema-para-fonema e permissão para o alinhamento forçado (forced-alignment) dos seguintes eventos: pausas preenchidas, riso e ruídos. Tais eventos representam menos de 1% das ocorrências na fala lida e cerca de 6% na fala espontânea. Eles ocorrem com um máximo de 3% nas Unidades Entre-Pausas de um corpus de fala lida e de 20% a 36% nas Pausas Entre-Unidades de corpora de fala espontânea. As medidas APFU-Acurácia no Posicionamento de Fronteiras de Unidade, do sistema de alinhamento forçado (forced-alignment system) proposto são de 96% de acerto no que diz respeito à fala lida e 96,48% para a fala espontânea, com uma variação delta de 40 ms. ; Most of the time, analyzing the phonetic entities of speech requires the alignment of the speech recording with its phonetic transcription. However, studies on automatic segmentation have predominantly been carried out on read speech or on prepared speech while spontaneous speech refers to a more informal activity, without any preparation. As a consequence, in spontaneous speech numerous phenomena occur such as hesitations, repetitions, feedback, backchannels, non-standard elisions, reduction phenomena, truncated words, and more generally, non-standard pronunciations. Events like laughter, noises and filled pauses are also very frequent in spontaneous speech. This paper aims to compare read speech and spontaneous speech in order to evaluate the impact of speech style on a speech segmentation task. This paper describes the solution implemented into the SPPAS software tool to automatically perform speech segmentation of read and spontaneous speech. This solution consists mainly in two sorts of things: supporting an Enriched Orthographic Transcription for an optimization of the grapheme-to-phoneme conversion and allowing the forced-alignment of the following events: filled pauses, laughter and noises. Actually, these events represent less than 1 % of the tokens in read speech and about 6 % in spontaneous speech. They occur in a maximum of 3 % of the Inter-Pausal Units of a read speech corpus and from 20 % up to 36 % of the Inter-Pausal Units in the spontaneous speech corpora. The UBPA measure-Unit Boundary Positioning Accuracy, of the proposed forced-alignment system is 96.09 % accurate as regards read speech and 96.48 % for spontaneous speech with a delta range of 40 ms.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [SHS.INFO]Humanities and Social Sciences/Library and information sciences; forced-alignment; paralinguistic events; spontaneous speech
URL: https://doi.org/10.17851/2237-2083.26.4.1489-1530
https://hal.archives-ouvertes.fr/hal-01908434
https://hal.archives-ouvertes.fr/hal-01908434/file/13026-1125612814-3-PB.pdf
https://hal.archives-ouvertes.fr/hal-01908434/document
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13
Developing Resources for Automated Speech Processing of the African Language Naija (Nigerian Pidgin)
In: 8th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics ; https://hal.archives-ouvertes.fr/hal-01705707 ; 8th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, Nov 2017, Poznan, Poland. pp.441-445 ; http://ltc.amu.edu.pl/ (2017)
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Developing Resources for Automated Speech Processing of the African Language Naija (Nigerian Pidgin)
In: 8th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics ; https://hal.archives-ouvertes.fr/hal-01705707 ; 8th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, Nov 2017, Poznan, Poland. pp.441-445 ; http://ltc.amu.edu.pl/ (2017)
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Répartition des phonèmes réduits en parole conversationnelle. Approche quantitative par extraction automatique
In: Journées d'Études sur la Parole ; https://hal.archives-ouvertes.fr/hal-01462228 ; Journées d'Études sur la Parole, Jul 2016, Paris, Région indéterminée. pp.9 (2016)
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The TYPALOC Corpus: A Collection of Various Dysarthric Speech Recordings in Read and Spontaneous Styles
In: Language Resources and Evaluation Conference (LREC) ; https://halshs.archives-ouvertes.fr/halshs-01401377 ; Language Resources and Evaluation Conference (LREC), May 2016, Portoroz, Slovenia. p 4658-4665 (2016)
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17
A phonetization approach for the forced-alignment task in SPPAS
In: Human Language Technology. Challenges for Computer Science and Linguistics, LNAI 9561 ; https://hal.archives-ouvertes.fr/hal-01455223 ; Human Language Technology. Challenges for Computer Science and Linguistics, LNAI 9561, pp.515--526, 2016, 978-3-319-43807-8. ⟨10.1007/978-3-319-43808-5_30⟩ (2016)
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Laughter in French Spontaneous Conversational Dialogs
In: LREC proceedings ; the Tenth International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01462176 ; the Tenth International Conference on Language Resources and Evaluation, May 2016, Portorož, Slovenia. pp.2168-2174 (2016)
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SPPAS - MULTI-LINGUAL APPROACHES TO THE AUTOMATIC ANNOTATION OF SPEECH
In: ISSN: 0741-6164 ; The Phonetician. Journal of the International Society of Phonetic Sciences ; https://hal.archives-ouvertes.fr/hal-01417876 ; The Phonetician. Journal of the International Society of Phonetic Sciences, International Society of Phonetic Sciences - ISPhS, 2015, Journal of ISPhS/International Society of Phonetic Sciences 111-112 (ISSN:0741-6164), pp.54-69 ; http://www.isphs.org/Phonetician/Phonetician_111-112.pdf#page=54 (2015)
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A syllable-based analysis of speech temporal organization: a comparison between speaking styles in dysarthric and healthy populations
In: 16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015) Proceedings ; Sixteenth Annual Conference of the International Speech Communication Association (INTERSPEECH 2015) ; https://hal.archives-ouvertes.fr/hal-01455314 ; Sixteenth Annual Conference of the International Speech Communication Association (INTERSPEECH 2015), Sep 2015, Dresde, Germany. pp.2977-2981 ; http://interspeech2015.org/ (2015)
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