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A Speech-to-Speech Translation System for Catalan, Spanish, and English [chapter]

Victoria Arranz, Elisabet Comelles, David Farwell, Climent Nadeu, Jaume Padrell, Albert Febrer, Dorcas Alexander, Kay Peterson
2004 Lecture Notes in Computer Science  
This paper describes the FAME interlingual speech-to-speech translation system for Spanish, Catalan and English, which is intended to assist users in the reservation of a hotel room when calling or visiting  ...  The system has been developed as an extension of the existing NESPOLE! translation system[4] which translates between English, German, Italian and French.  ...  For both Spanish and Catalan, we use the Text-to-Speech (TTS) system developed at the UPC.  ... 
doi:10.1007/978-3-540-30194-3_2 fatcat:ntzzzk34f5f7lfzgwsyq3avjcm

Comparison of ALBAYZIN query-by-example spoken term detection 2012 and 2014 evaluations

Javier Tejedor, Doroteo T. Toledano, Paula Lopez-Otero, Laura Docio-Fernandez, Carmen Garcia-Mateo
2016 EURASIP Journal on Audio, Speech, and Music Processing  
Evaluation is conducted on a Spanish spontaneous speech database containing a set of talks from workshops, which amount to about 7 h of speech.  ...  This paper presents the systems submitted to the ALBAYZIN QbE STD 2014 evaluation held as a part of the ALBAYZIN 2014 Evaluation campaign within the context of the IberSPEECH 2014 conference.  ...  Acknowledgements This research was funded by the Spanish Government ('SpeechTech4All Project' TEC2012-38939-C03-01 and 'CMC-V2 Project' TEC2012-37585-C02-01), the Galician Government through the research  ... 
doi:10.1186/s13636-016-0080-2 fatcat:les5r3cipzcsnhrxrv6lgiuedu

SINAI at SemEval-2019 Task 5: Ensemble learning to detect hate speech against inmigrants and women in English and Spanish tweets

Flor Miriam Plaza-del-Arco, M. Dolores Molina-González, Maite Martin, L. Alfonso Ureña-López
2019 Proceedings of the 13th International Workshop on Semantic Evaluation  
In this paper, we describe our system to analyze the hate speech in English and Spanish tweets against Immigrants and Women as part of our participation in SemEval-2019 Task 5: hatEval.  ...  For this reason, it is important to develop systems capable of detecting hateful comments automatically.  ...  Acknowledgments This work has been partially supported by Fondo Europeo de Desarrollo Regional (FEDER) and REDES project (TIN2015-65136-C2-1-R) from the Spanish Government.  ... 
doi:10.18653/v1/s19-2084 dblp:conf/semeval/ArcoMML19a fatcat:au64uwxdorfypoitdnbskr2qye

A pronunciation and vocabulary teaching aid for Spanish as a Foreign Language programs at Japanese universities utilizing a Spanish speech recognition system and corpora of academic Spanish

Yasushige Ishikawa, Reiko Tateiwa, Kazuaki Goto, Ichiro Akano
2010 The EUROCALL Review  
based on the AmiVoice Japanese speech recognition system; and a Spanish verb collocation-based vocabulary teaching aid based on a corpus of academic Spanish.  ...  The first step was the creation of a Spanish speech recognition system for Japanese university students based on the AmiVoice Japanese pronunciation recognition system developed by Advanced Media Incorporated  ...  By means of a speech recognition system which implemented the above pronunciation lexicon, the speech data of Spanish native speakers and Japanese university students were evaluated.  ... 
doi:10.4995/eurocall.2010.16333 fatcat:xvav7d6dkjbobiiozoc3piby2q

Some insights from translating conversational telephone speech

Gaurav Kumar, Matt Post, Daniel Povey, Sanjeev Khudanpur
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
We report insights from translating Spanish conversational telephone speech into English text by cascading an automatic speech recognition (ASR) system with a statistical machine translation (SMT) system  ...  Compared to translating the 1-best output of an ASR system with 40% WER using an SMT system trained on Spanish reference transcripts, translating the output lattice of a better ASR system with 35% WER  ...  CONVERSATIONAL SPEECH TRANSLATION ASR System Evaluation We begin by evaluating the performance of the Spanish ASR system on dev and dev2, as summarized in Table 1 .  ... 
doi:10.1109/icassp.2014.6854197 dblp:conf/icassp/KumarPPK14 fatcat:ju445lvvhjfe5fvpmr2zel5adu

Evaluation of Tacotron Based Synthesizers for Spanish and Basque

Víctor García, Inma Hernáez, Eva Navas
2022 Applied Sciences  
In this paper, we describe the implementation and evaluation of Text to Speech synthesizers based on neural networks for Spanish and Basque.  ...  To mitigate the problem, we implemented a guided attention providing the system with the explicit duration of the phonemes.  ...  We would also like to express our gratitude to all the participants of the evaluation we performed.  ... 
doi:10.3390/app12031686 doaj:9f0e9e5fd8c4447db8dc6c2b4bf67d2e fatcat:6hojmlk3pjazrls55xk3evm364

BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge [article]

Martin Kocour, Guillermo Cámbara, Jordi Luque, David Bonet, Mireia Farrús, Martin Karafiát, Karel Veselý, Jan "Honza" Ĉernocký
2021 arXiv   pre-print
A fusion of our best systems achieved 23.33% WER in official Albayzin 2020 evaluations.  ...  This paper describes joint effort of BUT and Telef\'onica Research on development of Automatic Speech Recognition systems for Albayzin 2020 Challenge.  ...  Introduction Albayzin 2020 challenge is a continuation of the Albayzin 2018 challenges [4] , which has evaluations for the following tasks: Speech to Text, Speaker Diarization and Identity Asignement,  ... 
arXiv:2101.12729v1 fatcat:ou24ar62vvfzxoo4b72trs4thu

The GTM-UVIGO System for Albayzin 2018 Speech-to-Text Evaluation

Laura Docío-Fernández, Carmen García-Mateo
2018 IberSPEECH 2018  
This paper describes the Speech-to-Text system developed by the Multimedia Technologies Group (GTM) of the atlanTTic research center at the University of Vigo, for the Albayzin Speech-to-Text Challenge  ...  The system was evaluated only on the open set training condition.  ...  Acknowledgements This work has received financial support from the Spanish Ministerio de Economía y Competitividad through project 'TraceThem' (TEC2015-65345-P), from the Xunta de Galicia (Agrupación Estratéxica  ... 
doi:10.21437/iberspeech.2018-58 dblp:conf/iberspeech/FernandezG18 fatcat:57ndbad2aje3lpv6ata73hetoe

Special Issue on Iberian Languages

Isabel Trancoso, Nestor Becerra-Yoma, Plínio Barbosa, Rubén San-Segundo, Kuldip Paliwal
2008 Speech Communication  
IL, to sponsor and/or organize meetings, workshops and other events on related topics, and to make speech corpora publicly available by promoting joint evaluation efforts.  ...  Furthermore, the SIG-IL is also strongly committed to encouraging world-class research within its community in order to contribute with new ideas to the field of speech science and technology.  ...  The final group of papers addresses machine translation, either from speech to sign language (for Spanish), from speech to speech (Spanish-to-Basque), or from text to text (English-to-Spanish).  ... 
doi:10.1016/j.specom.2008.06.001 fatcat:g7zvs7cl5nebnjihgi4ozilo74

Automatic translation from parallel speech: Simultaneous interpretation as MT training data

Matthias Paulik, Alex Waibel
2009 2009 IEEE Workshop on Automatic Speech Recognition & Understanding  
We propose an alternative to parallel text as machine translation (MT) training data; audio recordings of parallel speech (pSp) as it occurs in any scenario where interpreters are involved.  ...  Although interpretation (pSp) differs significantly from translation (parallel text), we achieve surprisingly strong translation results with our pSp-trained MT and speech translation systems.  ...  This enabled us to build MT systems and speech translation systems from simultaneous interpretation, thus eliminating the need for a manually created text corpus of sentenced aligned translations.  ... 
doi:10.1109/asru.2009.5372880 dblp:conf/asru/PaulikW09 fatcat:iuk2ylyap5dxrcmrmgf4r64xci

GSI-UPM at SemEval-2019 Task 5: Semantic Similarity and Word Embeddings for Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter

Diego Benito, Oscar Araque, Carlos A. Iglesias
2019 Proceedings of the 13th International Workshop on Semantic Evaluation  
This paper describes the GSI-UPM system for SemEval-2019 Task 5, which tackles multilingual detection of hate speech on Twitter.  ...  While our approach outperforms baseline classifiers on different sub-tasks, the best of our submitted runs reached the 5th position on the Spanish subtask A.  ...  Acknowledgments This work has been partially supported by the Spanish Ministry of Economy and Competitiveness under the R&D project SEMOLA (TEC2015-68284-R) and the European Union with Trivalent (H2020  ... 
doi:10.18653/v1/s19-2070 dblp:conf/semeval/BenitoAI19 fatcat:5wa67zaxkzckjlccm4xni5uj2q

Design and Evaluation of an Automatic Speech Recognition Model for Clinical Notes in Spanish in a Mobile Online Environment

Alejandro Renato, Hernan Berinsky, Mariana Daus, Miguel Fantin Dachery, Oscar Jauregui, Fernando Storani, María Laura Gambarte, Carlos Otero, Daniel Luna
2019 Studies in Health Technology and Informatics  
We describe the design and evaluation of an automatic speech recognition system that enables the transcription of audio to text of clinical notes in a mobile environment.  ...  Our system achieved 94.1% word accuracy when evaluated on pediatrics, internal medicine and surgery services.  ...  Conclusions We conclude that our mobile ASR system for taking clinical notes has been shown to perform acceptably.  ... 
doi:10.3233/shti190635 pmid:31438331 fatcat:ah4fuhd3ljcbjacmf6p3kbzwzm

An Illustrated Methodology for Evaluating ASR Systems [chapter]

María González, Julián Moreno, José Luis Martínez, Paloma Martínez
2013 Lecture Notes in Computer Science  
This paper introduces a methodology to accomplish the evaluation of different speech recognition systems in several scenarios considering also the creation of new corpora of different types (broadcast  ...  Automatic speech recognition technology can be integrated in an information retrieval process to allow searching on multimedia contents.  ...  This work has been partially supported by the Spanish Center for Industry Technological Development (CDTI, Ministry of Industry, Tourism and Trade), through the BUSCAMEDIA Project (CEN-20091026) .  ... 
doi:10.1007/978-3-642-37425-8_3 fatcat:xjuxruy4sjbrhceee2qi5gg7wi

UA at SemEval-2019 Task 5: Setting A Strong Linear Baseline for Hate Speech Detection

Carlos Perelló, David Tomás, Alberto Garcia-Garcia, Jose Garcia-Rodriguez, Jose Camacho-Collados
2019 Proceedings of the 13th International Workshop on Semantic Evaluation  
Given the text of a tweet, task A consists of detecting hate speech against women or immigrants in the text, whereas task B consists of identifying the target harassed as individual or generic, and to  ...  The purpose of this work is to build a strong baseline for hate speech detection by means of a traditional machine learning approach with standard textual features, which could serve as a reference to  ...  Acknowledgments We would like to thank Miguel Camacho and the Hate Crime National Office in Spain for their support.  ... 
doi:10.18653/v1/s19-2091 dblp:conf/semeval/PerelloTGRC19 fatcat:zkehna3mzra65j7m7q6zepebge

Spoken language translation from parallel speech audio: Simultaneous interpretation as SLT training data

Matthias Paulik, Alex Waibel
2010 2010 IEEE International Conference on Acoustics, Speech and Signal Processing  
We consider the scenario of speech translation between a resource rich and a resource-deficient language.  ...  In recent work, we proposed an alternative to parallel text as translation model (TM) training data: audio recordings of parallel speech (pSp), as it occurs in any communication scenario where interpreters  ...  With the help of 92h of En/Sp parallel speech audio, we were able to improve the performance of Spanish ASR from 27.1% WER to 23.8%, of Sp-to-En speech translation from 25.3 BLEU to 28.4 and for En-to-Sp  ... 
doi:10.1109/icassp.2010.5494998 dblp:conf/icassp/PaulikW10 fatcat:xngr6ahh7faehnnljw54n2cg3e
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