| 000 | 05550nam a22003975i 4500 | ||
|---|---|---|---|
| 999 |
_c8987 _d8987 |
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| 001 | 17822592 | ||
| 003 | OSt | ||
| 005 | 20190507100838.0 | ||
| 008 | 130723s2013 nyu 000 0 eng | ||
| 010 | _a 2013946024 | ||
| 020 | _a9783319019307 (soft cover : alk. paper) | ||
| 020 | _a3319019309 (soft cover : alk. paper) | ||
| 040 |
_aDLC _beng _erda _cDLC |
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| 042 | _apcc | ||
| 082 |
_222 _a006.3 _bS |
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| 245 | 0 | 0 |
_aSpeech and computer : _b15th International Conference,Specom 2013, September 1-5, 2013, Pilsen, Czech Republic, Proceedings / _c[edited by] Milos Zelezny, Ivan Habernal, Andrey Ronzhin. |
| 250 | _afirst edition. | ||
| 263 | _a1309 | ||
| 264 | 1 |
_aHeidelberg : _bSpringer, _c[2013] |
|
| 264 | 4 | _cc2013. | |
| 300 |
_axv, 368 pages : _billustrations (black and white) ; _c24 cm. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aunmediated _2rdamedia |
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| 338 |
_avolume _2rdacarrier |
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| 490 | 0 |
_aLecture notes in artificial intelligence ; _v8113 |
|
| 500 | _acomputer bookfair2015 | ||
| 505 | 0 | _aConference Papers.- Automatic Detection of the Prosodic Structures of Speech Utterances.- A Method for Auditory Evaluation of Synthesized Speech Intonation.- Acoustic Modeling with Deep Belief Networks for Russian Speech Recognition.- An Analysis of Speech Signals of the Choapam Variant Zapotec Language.- Analysis of Expert Manual Annotation of the Russian Spontaneous Monologue: Evidence from Sentence Boundary Detection.- Application of l1 Estimation of Gaussian Mixture Model Parameters for Language Identification.- Application of Automatic Fragmentation for the Semantic Comparison of Texts.- Auditory and Spectrographic Analysis of the Words of 2-8 Years-Old Russian Children.- Auditory and Visual Recognition of Emotional Behaviour of Foreign Language Subjects (by Native and Non-native Speakers.- Automatic Detection of Speech Disfluencies in the Spontaneous Russian Speech.- Automatic Morphological Annotation in a Text-to-Speech System for Hebrew.- Comparative Study of English, Dutch and German Prosodic Features (Fundamental Frequency and Intensity) as Means of Speech.- Covariance Matrix Enhancement Approach to Train Robust Gaussian Mixture Models of Speech Data.- Dealing with Diverse Data Variances in Factor Analysis Based Methods.- Detection of the Frequency Characteristics of the Articulation System with the Use of Voice Source Signal Recording Method.- Encoding of Spatial Perspectives in Human-Machine Interaction.- Evaluation of Advanced Language Modeling Techniques for Russian LVCSR.- Examining Vulnerability of Voice Verification Systems to Spoofing Attacks by Means of a TTS System.- Exploiting Multiple ASR Outputs for a Spoken Language Understanding Task.- Fast Algorithm for Automatic Alignment of Speech and Imperfect Text Data.- GMM Based Language Identification System Using Robust Features.- Hierarchical Clustering and Classification of Emotions in Human Speech Using Confusion Matrices.- Improvements in Czech Expressive Speech Synthesis in Limited Domain.- Improving Prosodic Break Detection in a Russian TTS System.- Investigation of Forensically Significant Changes of Acoustic Features with Regard to Code-Switching (on the Basis of Russian and German).- LIMA: A Spoken Language Identification Framework.- Language Identification System for the Tatar Language.- Language Model Comparison for Ukrainian Real-Time Speech Recognition System.- Lexicon Size and Language Model Order Optimization for Russian LVCSR.- Lingua-cognitive Survey of the Semantic Field "Aggression" in Multicultural Communication: Typed Text.- Method for Pornography Filtering in the WEB Based on Automatic Classification and Natural Language Processing.- Noise and Channel Normalized Cepstral Features for Far-speech Recognition.- Parametric Speech Synthesis and User Interface for Speech Modification.- Phrase-Final Segment Lengthening in Russian: Preliminary Results of a Corpus-Based Study.- Pseudo Real-Time Spoken Term Detection Using Pre-retrieval Results.- Results for Variable Speaker and Recording Conditions on Spoken IR in Finnish.- SVID Speaker Recognition System for NIST SRE 2012.- Segmentation of Telephone Speech Based on Speech and Non-speech Models.- Software for Assessing Voice Quality in Rehabilitation of Patients after Surgical Treatment of Cancer of Oral Cavity, Oropharynx and Upper Jaw.- Speaker Turn Detection Based on Multimodal Situation Analysis.- Speech and Crosstalk Detection for Robust Speech Recognition Using a Dual Microphone System.- Speech and Language Resources within Speech Recognition and Synthesis Systems for Serbian and Kindred South Slavic Languages.- Statistical Language Aspects of Intonation and Gender Features Based on the Lithuanian Language.- Text Understanding as Interpretation of Predicative Structure Strings of Main Text's Sentences as Result of Pragmatic Analysis (Combination of Linguistic and Statistic Approaches).- The Diarization System for an Unknown Number of Speakers.- The Problem of Voice Template Aging in Speaker Recognition Systems.- The Use of Several Language Models and Its Impact on Word Insertion Penalty in LVCSR.- The Use of d-gram Language Models for Speech Recognition in Russian. | |
| 650 | 0 | _aComputer science | |
| 650 | 0 | _aArtificial intelligence | |
| 650 | 0 | _aDatabase management | |
| 650 | 0 | _aOptical pattern recognition | |
| 856 |
_3Abstract _uhttp://repository.fue.edu.eg/xmlui/handle/123456789/3588 |
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_a0 _bibc _corignew _d2 _eepcn _f20 _gy-gencatlg |
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| 942 |
_2ddc _cBK |
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