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

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期刊全称Advances in Speech and Language Technologies for Iberian Languages
期刊简称IberSPEECH 2012 Conf
影响因子2023Doroteo Torre Toledano,Alfonso Ortega Giménez ,Dan
视频video
发行地址Fast-track conference proceedings.State-of-the-art research.Up-to-date results
学科分类Communications in Computer and Information Science
图书封面Titlebook: Advances in Speech and Language Technologies for Iberian Languages; IberSPEECH 2012 Conf Doroteo Torre Toledano,Alfonso Ortega Giménez ,Dan
影响因子This volume constitutes the refereed proceedings of the Spanish Conference, IberSPEECH 2012: Joint VII “Jornadas en Tecnología del Habla” and III Iberian 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 characterization; dialogue and multimodal systems; robustness in automatic speech recognition; applications of speech and language technologies.
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On the use of Total Variability and Probabilistic Linear Discriminant Analysis for Speaker Verificatverification on short utterances. While the recent advances in the field dealing with the session variability problem have proved to greatly outperform speaker verification systems on typical scenarios where a reasonable amount of speech is available, this performance rapidly degrades at the presenc
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Evaluation of a New Beam-Search Formant Tracking Algorithm in Noisy Environments with three formant tracking methods. The proposed formant tracking algorithm makes use of the roots of the polynomial of a Linear Predictive Coding (LPC) as formant candidates. The best combination of formant candidates respect to a defined cost function are selected applying a beam-search algorith
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Preliminary Results of Alignment of Text and Audio in News and Songss. For this purpose two methods are used. The first one is basically a forced alignment process of the audio and text based on pre-existent models. The second one is a model-free method in which new models are trained on the audio to align producing as a result the aligned text and audio. For analys
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Aligning Very Long Speech Signals to Bilingual Transcriptions of Parliamentary Sessionsanscriptions, even when two different languages are employed. The alignment algorithm operates on two phonetic sequences, the first one automatically extracted from the speech signal by means of a phone decoder, and the second one obtained from the reference text by means of a multilingual grapheme-
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Factor Analysis Segmentation and Classification in Broadcast News Domain where every input sequence is a language. Following this idea, a study between the classic segmentation systems based on HMM/GMM and FA is done over the output of a perfect segmentation system (oracle boundaries). It can be seen how FA improves the classification results compared to HMM/GMM. Also,
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Prosodic and Phonetic Features for Speaking Styles Classification and Detection the segmentation of multimedia data into consistent parts and has important applications, such as identifying speech segments to train acoustic models for speech recognition. In this work the database consists of daily news broadcasts in Portuguese television, on which two main speaking styles are
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