Artykuły w czasopismach na temat „Robust speech features”
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Huang, Kuo-Chang, Yau-Tarng Juang i Wen-Chieh Chang. "Robust integration for speech features". Signal Processing 86, nr 9 (wrzesień 2006): 2282–88. http://dx.doi.org/10.1016/j.sigpro.2005.10.020.
Pełny tekst źródłaPotamianos, Alexandros. "Novel features for robust speech recognition". Journal of the Acoustical Society of America 112, nr 5 (listopad 2002): 2278. http://dx.doi.org/10.1121/1.4779131.
Pełny tekst źródłaGoh, Yeh Huann, Paramesran Raveendran i Sudhanshu Shekhar Jamuar. "Robust speech recognition using harmonic features". IET Signal Processing 8, nr 2 (kwiecień 2014): 167–75. http://dx.doi.org/10.1049/iet-spr.2013.0094.
Pełny tekst źródłaEskikand, Parvin Zarei, i Seyyed Ali Seyyedsalehia. "Robust speech recognition by extracting invariant features". Procedia - Social and Behavioral Sciences 32 (2012): 230–37. http://dx.doi.org/10.1016/j.sbspro.2012.01.034.
Pełny tekst źródłaDimitriadis, D., P. Maragos i A. Potamianos. "Robust AM-FM features for speech recognition". IEEE Signal Processing Letters 12, nr 9 (wrzesień 2005): 621–24. http://dx.doi.org/10.1109/lsp.2005.853050.
Pełny tekst źródłaHarding, Philip, i Ben Milner. "Reconstruction-based speech enhancement from robust acoustic features". Speech Communication 75 (grudzień 2015): 62–75. http://dx.doi.org/10.1016/j.specom.2015.09.011.
Pełny tekst źródłaRaj, Bhiksha, Michael L. Seltzer i Richard M. Stern. "Reconstruction of missing features for robust speech recognition". Speech Communication 43, nr 4 (wrzesień 2004): 275–96. http://dx.doi.org/10.1016/j.specom.2004.03.007.
Pełny tekst źródłaONOE, K., S. SATO, S. HOMMA, A. KOBAYASHI, T. IMAI i T. TAKAGI. "Bi-Spectral Acoustic Features for Robust Speech Recognition". IEICE Transactions on Information and Systems E91-D, nr 3 (1.03.2008): 631–34. http://dx.doi.org/10.1093/ietisy/e91-d.3.631.
Pełny tekst źródłaBansal, Poonam, Amita Dev i Shail Jain. "Robust Feature Vector Set Using Higher Order Autocorrelation Coefficients". International Journal of Cognitive Informatics and Natural Intelligence 4, nr 4 (październik 2010): 37–46. http://dx.doi.org/10.4018/ijcini.2010100103.
Pełny tekst źródłaMajeed, Sayf A., Hafizah Husain i Salina A. Samad. "Phase Autocorrelation Bark Wavelet Transform (PACWT) Features for Robust Speech Recognition". Archives of Acoustics 40, nr 1 (1.03.2015): 25–31. http://dx.doi.org/10.1515/aoa-2015-0004.
Pełny tekst źródłaHsieh, Hsin-Ju, Berlin Chen i Jeih-weih Hung. "Histogram equalization of contextual statistics of speech features for robust speech recognition". Multimedia Tools and Applications 74, nr 17 (8.03.2014): 6769–95. http://dx.doi.org/10.1007/s11042-014-1929-y.
Pełny tekst źródłaOuzounov, A. "Mean-Delta Features for Telephone Speech Endpoint Detection". Information Technologies and Control 12, nr 3-4 (1.12.2014): 36–44. http://dx.doi.org/10.1515/itc-2016-0005.
Pełny tekst źródłaShoiynbek, Kozhakhmet, Sultanova, Zhumaliyeva, Aisultan, Kanat, Nazerke, Rakhima. "The Robust Spectral Audio Features for Speech Emotion Recognition". Applied Mathematics & Information Sciences 13, nr 5 (1.09.2019): 867–70. http://dx.doi.org/10.18576/amis/130521.
Pełny tekst źródłaMilner, B. P., i S. V. Vaseghi. "Bayesian channel equalisation and robust features for speech recognition". IEE Proceedings - Vision, Image, and Signal Processing 143, nr 4 (1996): 223. http://dx.doi.org/10.1049/ip-vis:19960577.
Pełny tekst źródłaShahnawazuddin, Syed, Rohit Sinha i Gayadhar Pradhan. "Pitch-Normalized Acoustic Features for Robust Children's Speech Recognition". IEEE Signal Processing Letters 24, nr 8 (sierpień 2017): 1128–32. http://dx.doi.org/10.1109/lsp.2017.2705085.
Pełny tekst źródłaSpille, Constantin, Birger Kollmeier i Bernd T. Meyer. "Combining Binaural and Cortical Features for Robust Speech Recognition". IEEE/ACM Transactions on Audio, Speech, and Language Processing 25, nr 4 (kwiecień 2017): 756–67. http://dx.doi.org/10.1109/taslp.2017.2661712.
Pełny tekst źródłaIkbal, Shajith, Hemant Misra, Hynek Hermansky i Mathew Magimai-Doss. "Phase AutoCorrelation (PAC) features for noise robust speech recognition". Speech Communication 54, nr 7 (wrzesień 2012): 867–80. http://dx.doi.org/10.1016/j.specom.2012.02.005.
Pełny tekst źródłaNishimura, Yoshitaka, Takahiro Shinozaki, Koji Iwano i Sadaoki Furui. "Noise‐robust speech recognition using multi‐band spectral features". Journal of the Acoustical Society of America 116, nr 4 (październik 2004): 2480. http://dx.doi.org/10.1121/1.4784906.
Pełny tekst źródłaGavat, Inge, Gabriel Costache i Claudia Iancu. "Enhancing robustness of speech recognizers by bimodal features". Facta universitatis - series: Electronics and Energetics 19, nr 2 (2006): 287–98. http://dx.doi.org/10.2298/fuee0602287g.
Pełny tekst źródłaLingnan, Ge, Katsuhiko Shirai i Akira Kurematsu. "Approach of features with confident weight for robust speech recognition". Acoustical Science and Technology 32, nr 3 (2011): 92–99. http://dx.doi.org/10.1250/ast.32.92.
Pełny tekst źródłaJeih-Weih Hung i Wei-Yi Tsai. "Constructing Modulation Frequency Domain-Based Features for Robust Speech Recognition". IEEE Transactions on Audio, Speech, and Language Processing 16, nr 3 (marzec 2008): 563–77. http://dx.doi.org/10.1109/tasl.2007.913405.
Pełny tekst źródłaFarooq, O., i S. Datta. "Robust features for speech recognition based on admissible wavelet packets". Electronics Letters 37, nr 25 (2001): 1554. http://dx.doi.org/10.1049/el:20011029.
Pełny tekst źródłaWang, Shuiping, Zhenmin Tang, Ye Jiang i Ying Chen. "Robust FHPD Features from Speech Harmonic Analysis for Speaker Identification". Applied Mathematics & Information Sciences 7, nr 4 (1.07.2013): 1591–98. http://dx.doi.org/10.12785/amis/070445.
Pełny tekst źródłaMitra, Vikramjit, Hosung Nam, Carol Espy-Wilson, Elliot Saltzman i Louis Goldstein. "Robust speech recognition with articulatory features using dynamic Bayesian networks". Journal of the Acoustical Society of America 130, nr 4 (październik 2011): 2408. http://dx.doi.org/10.1121/1.3654653.
Pełny tekst źródłaRevathi, A., N. Sasikaladevi, R. Nagakrishnan i C. Jeyalakshmi. "Robust emotion recognition from speech: Gamma tone features and models". International Journal of Speech Technology 21, nr 3 (4.08.2018): 723–39. http://dx.doi.org/10.1007/s10772-018-9546-1.
Pełny tekst źródłaSeyedin, Sanaz, Seyed Mohammad Ahadi i Saeed Gazor. "New Features Using Robust MVDR Spectrum of Filtered Autocorrelation Sequence for Robust Speech Recognition". Scientific World Journal 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/634160.
Pełny tekst źródłaAlabbasi, Hesham A., Ali M. Jalil i Fadhil S. Hasan. "Adaptive wavelet thresholding with robust hybrid features for text-independent speaker identification system". International Journal of Electrical and Computer Engineering (IJECE) 10, nr 5 (1.10.2020): 5208. http://dx.doi.org/10.11591/ijece.v10i5.pp5208-5216.
Pełny tekst źródłaFarahat, Mahboubeh, i Ramin Halavati. "Noise Robust Speech Recognition Using Deep Belief Networks". International Journal of Computational Intelligence and Applications 15, nr 01 (marzec 2016): 1650005. http://dx.doi.org/10.1142/s146902681650005x.
Pełny tekst źródłaZhang, Zhan, Yuehai Wang i Jianyi Yang. "Accent Recognition with Hybrid Phonetic Features". Sensors 21, nr 18 (18.09.2021): 6258. http://dx.doi.org/10.3390/s21186258.
Pełny tekst źródłaKHAN, EMDAD, i ROBERT LEVINSON. "ROBUST SPEECH RECOGNITION USING A NOISE REJECTION APPROACH". International Journal on Artificial Intelligence Tools 08, nr 01 (marzec 1999): 53–71. http://dx.doi.org/10.1142/s0218213099000051.
Pełny tekst źródłaLin, Shih-Hsiang, Berlin Chen i Yao-Ming Yeh. "Exploring the Use of Speech Features and Their Corresponding Distribution Characteristics for Robust Speech Recognition". IEEE Transactions on Audio, Speech, and Language Processing 17, nr 1 (styczeń 2009): 84–94. http://dx.doi.org/10.1109/tasl.2008.2007612.
Pełny tekst źródłaSen, TjongWan, Bambang Riyanto Trilaksono, Arry Akhmad Arman i Rila Mandala. "Robust Automatic Speech Recognition Features using Complex Wavelet Packet Transform Coefficients". ITB Journal of Information and Communication Technology 3, nr 2 (2009): 123–34. http://dx.doi.org/10.5614/itbj.ict.2009.3.2.4.
Pełny tekst źródłaLegoh, Kapang, Utpal Bhattacharjee i T. Tuithung. "Features and Model Adaptation Techniques for Robust Speech Recognition: A Review". Communications on Applied Electronics 1, nr 2 (31.01.2015): 18–31. http://dx.doi.org/10.5120/cae-1507.
Pełny tekst źródłaGairola, Atul, i Swapna Baadkar. "Hindi Speech Recognition System with Robust Front End-Back End Features". International Journal of Computer Applications 64, nr 1 (15.02.2013): 42–45. http://dx.doi.org/10.5120/10601-5305.
Pełny tekst źródłaShen, Peng, Satoshi Tamura i Satoru Hayamizu. "Multistream sparse representation features for noise robust audio-visual speech recognition". Acoustical Science and Technology 35, nr 1 (2014): 17–27. http://dx.doi.org/10.1250/ast.35.17.
Pełny tekst źródłaBach, Jörg-Hendrik, Jörn Anemüller i Birger Kollmeier. "Robust speech detection in real acoustic backgrounds with perceptually motivated features". Speech Communication 53, nr 5 (maj 2011): 690–706. http://dx.doi.org/10.1016/j.specom.2010.07.003.
Pełny tekst źródłaJeih-Weih Hung i Lin-Shan Lee. "Optimization of temporal filters for constructing robust features in speech recognition". IEEE Transactions on Audio, Speech and Language Processing 14, nr 3 (maj 2006): 808–32. http://dx.doi.org/10.1109/tsa.2005.857801.
Pełny tekst źródłaFazel, A., i S. Chakrabartty. "Sparse Auditory Reproducing Kernel (SPARK) Features for Noise-Robust Speech Recognition". IEEE Transactions on Audio, Speech, and Language Processing 20, nr 4 (maj 2012): 1362–71. http://dx.doi.org/10.1109/tasl.2011.2179294.
Pełny tekst źródłaLee, Moa, i Joon-Hyuk Chang. "Augmented Latent Features of Deep Neural Network-Based Automatic Speech Recognition for Motor-Driven Robots". Applied Sciences 10, nr 13 (2.07.2020): 4602. http://dx.doi.org/10.3390/app10134602.
Pełny tekst źródłaLi, Naihan, Yanqing Liu, Yu Wu, Shujie Liu, Sheng Zhao i Ming Liu. "RobuTrans: A Robust Transformer-Based Text-to-Speech Model". Proceedings of the AAAI Conference on Artificial Intelligence 34, nr 05 (3.04.2020): 8228–35. http://dx.doi.org/10.1609/aaai.v34i05.6337.
Pełny tekst źródłaFAROOQ, O., S. DATTA i M. C. SHROTRIYA. "WAVELET SUB-BAND BASED TEMPORAL FEATURES FOR ROBUST HINDI PHONEME RECOGNITION". International Journal of Wavelets, Multiresolution and Information Processing 08, nr 06 (listopad 2010): 847–59. http://dx.doi.org/10.1142/s0219691310003845.
Pełny tekst źródłaMeng, Xiang Tao, i Shi Yin. "Speech Recognition Algorithm Based on Nonlinear Partition and GFCC Features". Applied Mechanics and Materials 556-562 (maj 2014): 3069–73. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3069.
Pełny tekst źródłaZvarevashe, Kudakwashe, i Oludayo O. Olugbara. "Recognition of speech emotion using custom 2D-convolution neural network deep learning algorithm". Intelligent Data Analysis 24, nr 5 (30.09.2020): 1065–86. http://dx.doi.org/10.3233/ida-194747.
Pełny tekst źródłaZhou, Bin, Jing Liu i Zheng Pei. "Noise-Robust Voice Activity Detector Based on Four States-Based HMM". Applied Mechanics and Materials 411-414 (wrzesień 2013): 743–48. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.743.
Pełny tekst źródłaPark, Taejin, SeungKwan Beack i Taejin Lee. "Noise Robust Automatic Speech Recognition Scheme with Histogram of Oriented Gradient Features". IEIE Transactions on Smart Processing and Computing 3, nr 5 (31.10.2014): 259–66. http://dx.doi.org/10.5573/ieiespc.2014.3.5.259.
Pełny tekst źródłaHsieh, C. T., E. Lai i Y. C. Wang. "Robust speech features based on wavelet transform with application to speaker identification". IEE Proceedings - Vision, Image, and Signal Processing 149, nr 2 (2002): 108. http://dx.doi.org/10.1049/ip-vis:20020121.
Pełny tekst źródłaJeyalakshmi, C., K. Thenmozhi i A. Revathi. "Non-spectral features-based robust speaker independent emotion recognition from speech signal". International Journal of Medical Engineering and Informatics 12, nr 5 (2020): 500. http://dx.doi.org/10.1504/ijmei.2020.10031560.
Pełny tekst źródłaRevathi, A., C. Jeyalakshmi i K. Thenmozhi. "Non-spectral features-based robust speaker independent emotion recognition from speech signal". International Journal of Medical Engineering and Informatics 12, nr 5 (2020): 500. http://dx.doi.org/10.1504/ijmei.2020.109944.
Pełny tekst źródłaShen, Jia-lin, i Wen L. Hwang. "New temporal features for robust speech recognition with emphasis on microphone variations". Computer Speech & Language 13, nr 1 (styczeń 1999): 65–78. http://dx.doi.org/10.1006/csla.1998.0050.
Pełny tekst źródłaAmrous, Anissa Imen, Mohamed Debyeche i Abderrahman Amrouche. "Robust Arabic speech recognition in noisy environments using prosodic features and formant". International Journal of Speech Technology 14, nr 4 (23.09.2011): 351–59. http://dx.doi.org/10.1007/s10772-011-9113-5.
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