6 research outputs found

    Query-by-Example Spoken Term Detection ALBAYZIN 2012 evaluation: overview, systems, results and discussion

    Get PDF
    The final publication is available at Springer via http://dx.doi.org/10.1186/1687-4722-2013-23Query-by-Example Spoken Term Detection (QbE STD) aims at retrieving data from a speech data repository given an acoustic query containing the term of interest as input. Nowadays, it has been receiving much interest due to the high volume of information stored in audio or audiovisual format. QbE STD differs from automatic speech recognition (ASR) and keyword spotting (KWS)/spoken term detection (STD) since ASR is interested in all the terms/words that appear in the speech signal and KWS/STD relies on a textual transcription of the search term to retrieve the speech data. This paper presents the systems submitted to the ALBAYZIN 2012 QbE STD evaluation held as a part of ALBAYZIN 2012 evaluation campaign within the context of the IberSPEECH 2012 Conferencea. The evaluation consists of retrieving the speech files that contain the input queries, indicating their start and end timestamps within the appropriate speech file. Evaluation is conducted on a Spanish spontaneous speech database containing a set of talks from MAVIR workshopsb, which amount at about 7 h of speech in total. We present the database metric systems submitted along with all results and some discussion. Four different research groups took part in the evaluation. Evaluation results show the difficulty of this task and the limited performance indicates there is still a lot of room for improvement. The best result is achieved by a dynamic time warping-based search over Gaussian posteriorgrams/posterior phoneme probabilities. This paper also compares the systems aiming at establishing the best technique dealing with that difficult task and looking for defining promising directions for this relatively novel task.Tejedor, J.; Toledano, DT.; Anguera, X.; Varona, A.; Hurtado Oliver, LF.; Miguel, A.; ColĂĄs, J. (2013). Query-by-Example Spoken Term Detection ALBAYZIN 2012 evaluation: overview, systems, results and discussion. EURASIP Journal on Audio, Speech, and Music Processing. (23):1-17. doi:10.1186/1687-4722-2013-23S11723Zhang T, Kuo CCJ: Hierarchical classification of audio data for archiving and retrieving. In Proceedings of ICASSP. Phoenix; 15–19 March 1999:3001-3004.HelĂ©n M, Virtanen T: Query by example of audio signals using Euclidean distance between Gaussian Mixture Models. In Proceedings of ICASSP. Honolulu; 15–20 April 2007:225-228.HelĂ©n M, Virtanen T: Audio query by example using similarity measures between probability density functions of features. EURASIP J. Audio Speech Music Process 2010, 2010: 2:1-2:12.Tzanetakis G, Ermolinskyi A, Cook P: Pitch histograms in audio and symbolic music information retrieval. In Proceedings of the Third International Conference on Music Information Retrieval: ISMIR. Paris; 2002:31-38.Tsai HM, Wang WH: A query-by-example framework to retrieve music documents by singer. In Proceedings of the IEEE International Conference on Multimedia and Expo. Taipei; 27–30 June 2004:1863-1866.Chia TK, Sim KC, Li H, Ng HT: A lattice-based approach to query-by-example spoken document retrieval. In Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Singapore; 20–24 July 2008:363-370.Tejedor J, FapĆĄo M, Szöke I, ČernockĂœ H, GrĂ©zl F: Comparison of methods for language-dependent and language-independent query-by-example spoken term detection. ACM Trans. Inf. Syst 2012, 30(3):18:1-18:34.Muscariello A, Gravier G, Bimbot F: Zero-resource audio-only spoken term detection based on a combination of template matching techniques. In Proceedings of Interspeech. Florence; 27–31 August 2011:921-924.Lin H, Stupakov A, Bilmes J: Spoken keyword spotting via multi-lattice alignment. In 9th International Speech Communication Association Annual Conference. Brisbane, Australia; September 2008:2191-2194.Parada C, Sethy A, Ramabhadran B: Query-by-Example Spoken Term Detection for OOV terms. In Proceedings of ASRU. Merano; 13-17 December 2009:404-409.Shen W, White TJ, Hazen CM: A comparison of Query-by-Example methods for Spoken Term Detection. In Proceedings of Interspeech. Brighton; September 2009:2143-2146.Lin H, Stupakov A, Bilmes J: Improving multi-lattice alignment based spoken keyword spotting. In Proceedings of ICASSP. Taipei; 19–24 April 2009:4877-4880.Barnard E, Davel M, van Heerden C, Kleynhans N, Bali K: Phone recognition for spoken web search. In Proceedings of MediaEval. Pisa; 1–2 September 2011:5-6.Buzo A, Cucu H, Safta M, Ionescu B, Burileanu C: ARF@MediaEval 2012: a Romanian ASR-based approach to spoken term detection. In Proceedings of MediaEval. Pisa; 4–5 October 2012:7-8.Abad A, Astudillo RF: The L2F spoken web search system for MediaEval 2012. In Proceedings of MediaEval. Pisa; 4–5 October 2012:9-10.Varona A, Penagarikano M, RodrĂ­guez-Fuentes L, Bordel L, Diez M: GTTS system for the spoken web search task at MediaEval 2012. In Proceedings of MediaEval. Pisa; 4–5 October 2012:13-14.Szöke I, Faps̆o M, VeselĂœ K: BUT2012 Approaches for spoken web search - MediaEval 2012. In Proceedings of MediaEval. Pisa;4–5October 2012:15-16.Hazen W, Shen TJ, White CM: Query-by-Example spoken term detection using phonetic posteriorgram templates. In Proceedings of ASRU. Merano; 13–17 December 2009:421-426.Zhang Y, Glass JR: Unsupervised spoken keyword spotting via segmental DTW on Gaussian Posteriorgrams. In Proceedings of ASRU. Merano; 13–17 December 2009:398-403.Chan C, Lee L: Unsupervised spoken-term detection with spoken queries using segment-based dynamic time warping. In Proceedings of Interspeech. Makuhari; 26–30 September 2010:693-696.Anguera X, Macrae R, Oliver N: Partial sequence matching using an unbounded dynamic time warping algorithm. In Proceedings of ICASSP. Dallas; 14–19 March 2010:3582-3585.Anguera X: Telefonica system for the spoken web search Task at Mediaeval 2011. In Proceedings of MediaEval. Pisa; 1–2 September 2011:3-4.Muscariello A, Gravier G: Irisa MediaEval 2011 spoken web search system. In Proceedings of MediaEval. Pisa; 1–2 September 2011:9-10.Szöke I, Tejedor J, Faps̆o M, ColĂĄs J: BUT-HCTLab approaches for spoken web search - MediaEval 2011. In Proceedings of MediaEval. Pisa; 1–2 September 2011:11-12.Wang H, Lee T: CUHK System for the spoken web search task at Mediaeval 2012. In Proceedings of MediaEval. Pisa; 4–5 October 2012:3-4.Joder C, Weninger F, Wöllmer M, Schuller M: The TUM cumulative DTW approach for the Mediaeval 2012 spoken web search task. In Proceedings of MediaEval. Pisa; 4–5 October 2012:5-6.Vavrek J, Pleva M, JuhĂĄr J: TUKE MediaEval 2012: spoken web search using DTW and unsupervised SVM. In Proceedings of MediaEval. Pisa; 4–5 October 2012:11-12.Jansen A, Durme P, Clark BV: The JHU-HLTCOE spoken web search system for MediaEval 2012. In Proceedings of MediaEval. Pisa; 4–5 October 2012:17-18.Anguera X: Telefonica Research System for the spoken web search task at Mediaeval 2012. In Proceedings of MediaEval. Pisa; 4–5 October 2012:19-20.NIST: The Ninth Text REtrieval Conference (TREC 9). 2000. http://trec.nist.gov . Accessed 16 September 2013NIST: The Spoken Term Detection (STD) 2006 Evaluation Plan. 10 (National Institute of Standards and Technology (NIST), Gaithersburg, 2006). . Accessed 16 September 2013 http://www.nist.gov/speech/tests/stdSakai T, Joho H: Overview of NTCIR-9. Proceedings of NTCIR-9 Workshop 2011, 1-7.Rajput N, Metze F: Spoken web search. In Proceedings of MediaEval. Pisa; 1–2 September 2011:1-2.Metze F, Barnard E, Davel M, van Heerden C, Anguera X, Gravier G, Rajput N: Spoken web search. In Proceedings of MediaEval. Pisa; 4–5 October 2012:1-2.Tokyo University of Technology: Evaluation of information access technologies: information retrieval, question answering and cross-lingual information access. 2013. http://research.nii.ac.jp/ntcir/ntcir-10/ . Accessed 16 September 2013NIST: The OpenKWS13 evaluation plan. 1, (National Institute of Standards and Technology (NIST), Gaithersburg, 2013). . Accessed 16 September 2013 http://www.nist.gov/itl/iad/mig/openkws13.cfmTaras B, Nadeu C: Audio segmentation of broadcast news in the Albayzin-2010 evaluation: overview, results, and discussion. EURASIP J. Audio Speech Music Process 2011, 1: 1-10.ZelenĂĄk M, Schulz H, Hernando J: Speaker diarization of broadcast news in Albayzin 2010 evaluation campaign. EURASIP J. Audio Speech Music Process 2012, 19: 1-9.RodrĂ­guez-Fuentes LJ, Penagarikano M, Varona A, DĂ­ez M, Bordel G: The Albayzin 2010 language recognition evaluation. In Proceedings of Interspeech. Florence; 27–31 August 2011:1529-1532.MĂ©ndez F, DocĂ­o L, Arza M, Campillo F: The Albayzin 2010 text-to-speech evaluation. In Proceedings of FALA. Vigo; November 2010:317-340.Fiscus JG, Ajot J, Garofolo JS, Doddington G: Results of the 2006 spoken term detection evaluation. In Proceedings of SIGIR Workshop Searching Spontaneous Conversational Speech. Rhodes; 22–25 September 2007:45-50.Martin A, Doddington G, Kamm T, Ordowski M, Przybocki M: The DET curve in assessment of detection task performance. In Proceedings of Eurospeech. Rhodes; 22-25 September 1997:1895-1898.NIST: NIST Speech Tools and APIs: 2006 (National Institute of Standards and Technology (NIST), Gaithersburg, 1996). . Accessed 16 September 2013 http://www.nist.gov/speech/tools/index.htmIberspeech 2012: VII Jornadas en TecnologĂ­a del Habla and III Iberian SLTech Workshop. . Accessed 16 September 2013 http://iberspeech2012.ii.uam.es/IberSPEECH2012_OnlineProceedings.pdfAnguera X: Speaker independent discriminant feature extraction for acoustic pattern-matching. In Proceedings of ICASSP. Kyoto; 25–30 March 2012:485-488.Anguera X, Ferrarons M: Memory efficient subsequence DTW for Query-by-Example spoken term detection. Proceedings of ICME 2013. http://www.xavieranguera.com/papers/sdtw_icme2013.pdfAnguera X: Telefonica Research System for the Query-by-example task at Albayzin 2012. In Proceedings of IberSPEECH. Madrid, Spain; 21–23 November 2012:626-632.Schwarz P: Phoneme recognition based on long temporal context. PhD Thesis, FIT, BUT, Brno, Czech Republic. 2008.Stolckem A: SRILM - an extensible language modeling toolkit. In Proceedings of Interspeech. Denver; 2002:901-904.Wang D, King S, Frankel J: Stochastic pronunciation modelling for out-of-vocabulary spoken term detection. IEEE Trans. Audio Speech Language Process 2011, 19(4):688-698.Wang D, Tejedor J, King S, Frankel J: Term-dependent confidence normalization for out-of-vocabulary spoken term detection. J. Comput. Sci. Technol 2012, 27(2):358-375. 10.1007/s11390-012-1228-xWang D, King S, Frankel J, Vipperla R, Evans N, Troncy R: Direct posterior confidence for out-of-vocabulary spoken term detection. ACM Trans. Inf. Syst 2012, 30(3):1-34.Varona A, Penagarikano M, RodrĂ­guez-Fuentes LJ, Bordel G, Diez M: GTTS systems for the query-by-example spoken term detection task of the Albayzin 2012 search on speech evaluation. In Proceedings of IberSPEECH. Madrid, Spain; 21–23 November 2012:619-625.GĂłmez J, Sanchis E, Castro-Bleda M: Automatic speech segmentation based on acoustical clustering. Proceedings of the Joint IAPR International Conference on Structural, Syntactic, and Statistical Pattern Recognition 2010, 540-548.GĂłmez J, Castro M: Automatic segmentation of speech at the phonetic level. Proceedings of the joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition 2002, 672-680.Sanchis E, Hurtado LF, GĂłmez JA, Calvo M, Fabra R: The ELiRF Query-by-example STD systems for the Albayzin 2012 search on speech evaluation. In Proceedings of IberSPEECH. Madrid, Spain; 21–23 November 2012:611-618.Park A, Glass J: Towards unsupervised pattern discovery in speech. In Proceedings of ASRU. Cancun; 27 November to 1 December 2005:53-58.Young S, Evermann G, Gales M, Hain T, Kershaw D, Liu X, Moore G, Odell J, Ollason D, Povey D, Valtchev V, Woodland P: The HTK Book. Engineering Department, Cambridge University; 2006.Miguel A, Villalba J, Ortega A, Lleida E: Albayzin 2012 search on speech @ ViVoLab UZ. In Proceedings of IberSPEECH. Madrid, Spain; 21–23 November 2012:633-642.Boersma P, Weenink D: Praat: Doing Phonetics by Computer. University of Amsterdam, Spuistraat, 210, Amsterdam, Holland. 2007. http://www.fon.hum.uva.nl/praat/ . Accessed 16 September 2013Goldwater S, Jurafsky D, Maning CD: Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates. Speech Commun 2009, 52(3):181-200.Mertens T, Wallace R, Schneider D: Cross-site combination and evaluation of subword spoken term detection systems. In Proceedings of CBMI. Madrid; 13–15 June 2011:61-66

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

    Full text link
    Query-by-example spoken term detection (QbE STD) aims at retrieving data from a speech repository given an acoustic query containing the term of interest as input. Nowadays, it is receiving much interest due to the large volume of multimedia information. 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. This is the second QbE STD evaluation in Spanish, which allows us to evaluate the progress in this technology for this language. The evaluation consists in retrieving the speech files that contain the input queries, indicating the start and end times where the input queries were found, along with a score value that reflects the confidence given to the detection of the query. Evaluation is conducted on a Spanish spontaneous speech database containing a set of talks from workshops, which amount to about 7 h of speech. We present the database, the evaluation metric, the systems submitted to the evaluation, the results, and compare this second evaluation with the first ALBAYZIN QbE STD evaluation held in 2012. Four different research groups took part in the evaluations held in 2012 and 2014. In 2014, new multi-word and foreign queries were added to the single-word and in-language queries used in 2012. Systems submitted to the second evaluation are hybrid systems which integrate letter transcription- and template matching-based systems. Despite the significant improvement obtained by the systems submitted to this second evaluation compared to those of the first evaluation, results still show the difficulty of this task and indicate that there is still room for improvement.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 contract GRC2014/024 (Modalidade: Grupos de Referencia Competitiva 2014) and 'AtlantTIC Project' CN2012/160, and also by the Spanish Government and the European Regional Development Fund (ERDF) under project TACTICA

    Geographic information extraction from texts

    Get PDF
    A large volume of unstructured texts, containing valuable geographic information, is available online. This information – provided implicitly or explicitly – is useful not only for scientific studies (e.g., spatial humanities) but also for many practical applications (e.g., geographic information retrieval). Although large progress has been achieved in geographic information extraction from texts, there are still unsolved challenges and issues, ranging from methods, systems, and data, to applications and privacy. Therefore, this workshop will provide a timely opportunity to discuss the recent advances, new ideas, and concepts but also identify research gaps in geographic information extraction

    Transforming Culture in the Digital Age International Conference in Tartu 14-16 April 2010

    Get PDF
    A short history of cultural participation by Nico Carpentier Accessible Digital Culture for Disabled People by Marcus Weisen Understanding Visitors’ Experiences with Multimedia Guides in Cultural Spaces by Kamal Othman, Helen Petrie & Christopher Power Can you be friends with an art museum? Rethinking the art museum through Facebook by Lea Schick & Katrine DamkjĂŠr On Scientific Mentality in Cultural Memory by Raffaele Mascella & Paolo Lattanzio Paranoid, not an Android: Dystopic and Utopic Expressions in Playful Interaction with Technology and everyday surroundings by Maaike de Jong Theorizing Web 2.0: including local to become universal by Selva Ersoz Karakulakoglu How Web 3.0 combines User-Generated and Machine-Generated Content by Stijn Bannier & Chris Vleugels Artificial Culture as a Metaphor and Tool by Kurmo Konsa Playful Public Connectivity by Anne Kaun Habermasian Online Debate of a Rational Critical Nature: Transforming Political Culture. A case study of the “For Honesty in Politics!” message group Latvia, 2007 by Ingus BērziƆơ Transformation of Cultural Preferences in Estonia by Maarja LĂ”hmus & Anu Masso Taste 2.0. Social Network Site as Cultural Practice by Antonio Di Stefano Online Communication A New Battlefield for Forming Elite Culture in China by Nanyi Bi Internet, blogs and Social Networks for Independent and Personal Learning of Information Theory and Other Subjects in Journalism, Advertising and Media by Graciela Padilla & Eva Aladro The Artist and Digital Self-presentation: a Reshuffle of Authority? by Joke Beyl Communicative Image Construction in Online Social Networks. New Identity Opportunities in the Digital Age by Bernadette Kneidinger Digital Identity: The Private and Public Paradox by Stacey M. Koosel Mystory in Myspace Rhetoric of Memory in New Median by Petra AczĂ©l Life Publishing on the internet – a playful field of life-telling by Sari Östman From the Gutenberg Galaxy to the Internet Galaxy. Digital Textuality and the Change of Cultural Landscape by Raine Koskimaa The “Open” Ideology of Digital Culture by Robert Wilkie Digital Poetry and/in the Poetics of the Automatic by Juri Joensuu Re: appearing and Disappearing Classics. Case Study on Poetics of Two Digital Rewritings by a Finnish Poet by Marko Niemi, Kristian Blomberg Cybertextuality meets transtextuality by Markku Eskelinen Metafictionality and deterritorilization of the literary in the hypertexts by Anna Wendorff The Public Sphere of Poetry and the Art of Publishing by Risto Niemi-PynttĂ€ri Solitude in Cyberspace by Piret Viires & Virve Sarapik Reprogramming Systems Aesthetics: A Strategic Historiography by Edward A. Shanken Stepping towards the immaterial: Digital technology revolutionizing art by Christina Grammatikopoulou Creativity in Surveillance Environment: Jill Magid and the Integrated Circuit by Amy Christmas Audience Interaction in the Cinema: An Evolving Experience by Chris Hales Delay and non-materiality in telecommunication art by Raivo Kelomees Robot: Ritual Oracle and Fetish by Thomas Riccio Digital art and children’s formal and informal practices: Exploring curiosities and challenging assumptions by Steven Naylor Locative Media and Augmented Reality: Bridges and Borders between Real and Virtual Spaces by Marisa Luisa GĂłmez MartĂ­ne

    La cittĂ , il viaggio, il turismo: Percezione, produzione e trasformazione

    Get PDF
    [English]:The city as a destination of the journey in his long evolution throughout history: a basic human need, an event aimed at knowledge, to education, to business and trade, military and religious conquests, but also related to redundancies for the achievement of mere physical or spiritual salvation. In the frame of one of the world's most celebrated historical city, the cradle of Greek antiquity, myth and beauty, travel timeless destination for culture and leisure, and today, more than ever, strongly tending to the conservation and development of their own identity, this collection of essays aims to provide, in the tradition of AISU studies, a further opportunity for reflection and exchange between the various disciplines related to urban history./ [Italiano]:La cittĂ  come meta del viaggio nella sua lunga evoluzione nel corso della storia: un bisogno primario dell'uomo, un evento finalizzato alla conoscenza, all'istruzione, agli affari e agli scambi commerciali, alle conquiste militari o religiose, ma anche legato agli esodi per il conseguimento della mera salvezza fisica o spirituale. Nella cornice di una delle cittĂ  storiche piĂč celebrate al mondo, culla dell'antichitĂ  greca, del mito e della bellezza, meta intramontabile di viaggi di cultura e di piacere, e oggi, piĂč che mai, fortemente protesa alla conservazione e alla valorizzazione della propria identitĂ , questa raccolta di saggi intende offrire, nel solco della tradizione di studi dell'AISU, un'ulteriore occasione di riflessione e di confronto tra i piĂč svariati ambiti disciplinari attinenti alla storia urbana
    corecore