Titlebook: Advances in Speech and Language Technologies for Iberian Languages; IberSPEECH 2012 Conf Doroteo Torre Toledano,Alfonso Ortega Giménez ,Dan

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Conference proceedings 2012ian SLTech Workshop, held in Madrid, Spain, in November 21-23, 2012. The 29 revised papers were carefully reviewed and selected from 80 submissions. The papers are organized in topical sections on speaker characterization and recognition; audio and speech segmentation; pathology detection and speech

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Siya Bao,Masao Yanagisawa,Nozomu Togawa belonging to the NIST Speaker Recognition Evaluation 2010 (NIST SRE10) and it explores the multiple parameters, which define TV and PLDA in order to give some insight about their relevance in this specific scenario.

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Thomas Seemann,Harald Hungenberg2 females and 2 males). Analyzing all the results, we observe that news is better aligned than songs, as expected. The two methods work similarly in both . songs and news, but in the case of songs that include the instrumental part, the model-free method is much better.

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Preliminary Results of Alignment of Text and Audio in News and Songs2 females and 2 males). Analyzing all the results, we observe that news is better aligned than songs, as expected. The two methods work similarly in both . songs and news, but in the case of songs that include the instrumental part, the model-free method is much better.

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Prosodic and Phonetic Features for Speaking Styles Classification and Detectiontep separates the speech segments from the non-speech audio segments and the second step classifies read versus spontaneous speaking style. The use of phonetic and prosodic features provides alternative information that leads to an improvement of the classification and detection task.