{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T18:49:16Z","timestamp":1757616556464,"version":"3.44.0"},"publisher-location":"Cham","reference-count":38,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031556838"},{"type":"electronic","value":"9783031556845"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-55684-5_25","type":"book-chapter","created":{"date-parts":[[2024,5,21]],"date-time":"2024-05-21T06:01:47Z","timestamp":1716271307000},"page":"373-398","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of the Impact Using Pre-emphasis Filter, Unvoiced Sounds, Frame Size and Feature Vector Size on Human Emotion Recognition by Voice and Machine Learning"],"prefix":"10.1007","author":[{"given":"Alain","family":"Manzo-Mart\u00ednez","sequence":"first","affiliation":[]},{"given":"Raydesel","family":"S\u00e1nchez","sequence":"additional","affiliation":[]},{"given":"Fernando","family":"Gaxiola","sequence":"additional","affiliation":[]},{"given":"Fernando","family":"Mart\u00ednez-Reyes","sequence":"additional","affiliation":[]},{"given":"Raymundo","family":"Cornejo-Garc\u00eda","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,5,22]]},"reference":[{"key":"25_CR1","unstructured":"P\u00e9rez Espinosa, H., Reyes Garc\u00eda, C.A.: Reconocimiento de Emociones a Partir de Voz Basado en un Modelo Emocional Continuo. Coordinaci\u00f3n de Ciencias Computacionales INAOE. Reporte T\u00e9cnico No. CCC-10-005, 2\u20134 (2010)."},{"key":"25_CR2","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.specom.2019.12.001","volume":"116","author":"MB Ak\u04abaya","year":"2020","unstructured":"Ak\u04abaya, M.B., O\u01e7uz, K.: Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers. Speech Commun. 116, 56\u201376 (2020)","journal-title":"Speech Commun."},{"issue":"1","key":"25_CR3","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1109\/TAFFC.2015.2392101","volume":"6","author":"K Wang","year":"2015","unstructured":"Wang, K., An, N., Li, B.N., Zhang, Y., Li, L.: Speech emotion recognition using Fourier parameters. IEEE Trans. Affect. Comput. 6(1), 69\u201375 (2015)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"25_CR4","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1146\/annurev.ps.30.020179.002523","volume":"30","author":"P Ekman","year":"1979","unstructured":"Ekman, P., Oster, H.: Facial expressions of emotion. Annu. Rev. Psychol. 30, 527\u2013554 (1979)","journal-title":"Annu. Rev. Psychol."},{"key":"25_CR5","unstructured":"Ekman, P., Friesen, W., Ellsworth, P.: Emotion in the Human Face: Guidelines for Research and an Integration of Findings. Elsevier Inc. (1972)"},{"key":"25_CR6","unstructured":"Ekman, P.: Universals and Cultural Differences in Facial Expressions of Emotion. University of Nebraska Press (1971)"},{"issue":"6","key":"25_CR7","doi-asserted-by":"publisher","first-page":"1063","DOI":"10.1037\/0022-3514.54.6.1063","volume":"54","author":"D Watson","year":"1988","unstructured":"Watson, D., Clark, L.A., Tellegen, A.: Development and validation of brief measures of positive and negative affect: the panas scales. J. Pers. Soc. Psychol. 54(6), 1063\u20131070 (1988)","journal-title":"J. Pers. Soc. Psychol."},{"issue":"3","key":"25_CR8","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/0092-6566(77)90037-X","volume":"11","author":"JA Russell","year":"1977","unstructured":"Russell, J.A., Mehrabian, A.: Evidence for a three-factor theory of emotions. J. Res. Pers. 11(3), 273\u2013294 (1977)","journal-title":"J. Res. Pers."},{"key":"25_CR9","doi-asserted-by":"publisher","first-page":"787","DOI":"10.1016\/j.specom.2007.01.010","volume":"49","author":"M Grimm","year":"2007","unstructured":"Grimm, M., Kroschel, K., Mower, E., Narayanan, S.: Primitives-based evaluation and estimation of emotions in speech. Speech Commun. 49, 787\u2013800 (2007)","journal-title":"Speech Commun."},{"key":"25_CR10","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.csl.2020.101119","volume":"65","author":"F Haider","year":"2021","unstructured":"Haider, F., Pollak, S., Albert, P., Luz, S.: Emotion recognition in low-resource settings: An evaluation of automatic feature selection methods. Comput. Speech Lang. 65, 101\u2013119 (2021)","journal-title":"Comput. Speech Lang."},{"key":"25_CR11","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1016\/j.future.2017.10.002","volume":"81","author":"S Ying","year":"2018","unstructured":"Ying, S., Xue-Ying, Z.: Characteristics of human auditory model based on compensation of glottal features in speech emotion recognition. Futur. Gener. Comput. Syst. 81, 291\u2013296 (2018)","journal-title":"Futur. Gener. Comput. Syst."},{"key":"25_CR12","doi-asserted-by":"crossref","unstructured":"Semwal, N., Kumar, A., Narayanan, S.: Automatic speech emotion detection system using multi-domain acoustic feature selection and classification models. In: 2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), pp. 1\u20136 (2017)","DOI":"10.1109\/ISBA.2017.7947681"},{"key":"25_CR13","doi-asserted-by":"crossref","unstructured":"\u00d6zseven, T.: Investigation of the relation between emotional state and acoustic parameters in the context of language. Avrupa Bilim ve Teknoloji Dergisi, pp. 241\u2013244 (2018)","DOI":"10.31590\/ejosat.448095"},{"key":"25_CR14","unstructured":"Latif, S., Rana, R., Younis, S., Qadir, J., Epps, J.: Cross corpus speech emotion classification, an effective transfer learning technique. Comput. Sci. (2018)"},{"key":"25_CR15","doi-asserted-by":"crossref","unstructured":"Scharenborg, O., Kakouros, S., Koemans, J.: The effect of noise on emotion perception in an unknown language. In: Proceedings 9th International Conference on Speech Prosody 2018, pp. 364\u2013368 (2018)","DOI":"10.21437\/SpeechProsody.2018-74"},{"key":"25_CR16","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.neucom.2020.02.085","volume":"398","author":"K Wang","year":"2020","unstructured":"Wang, K., Su, G., Liu, L., Wang, S.: Wavelet packet analysis for speaker-independent emotion recognition. Neurocomputing 398, 257\u2013264 (2020)","journal-title":"Neurocomputing"},{"issue":"1","key":"25_CR17","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1016\/j.patrec.2015.08.027","volume":"68","author":"J Beltr\u00e1n","year":"2015","unstructured":"Beltr\u00e1n, J., Ch\u00e1vez, E., Favela, J.: Scalable identification of mixed environmental sounds, recorded from heterogeneous sources. Pattern Recogn. Lett. 68(1), 153\u2013160 (2015)","journal-title":"Pattern Recogn. Lett."},{"key":"25_CR18","doi-asserted-by":"crossref","unstructured":"Camarena-Ibarrola, A., Ch\u00e1vez, E.: On musical performances identification, entropy and string matching. In: 2006 Mexican International Conference on Artificial Intelligence, pp. 952\u2013962 (2006)","DOI":"10.1007\/11925231_91"},{"key":"25_CR19","doi-asserted-by":"crossref","unstructured":"Camarena-Ibarrola, A., Ch\u00e1vez, E.: Real time tracking of musical performances. In: 2010 Mexican International Conference on Artificial Intelligence, pp. 138\u2013148 (2010)","DOI":"10.1007\/978-3-642-16773-7_12"},{"key":"25_CR20","doi-asserted-by":"crossref","unstructured":"Camarena-Ibarrola, A., Figueroa, K., Garc\u00eda, J.: Speaker identification using entropygrams and convolutional neural networks. In: 2020 Mexican International Conference on Artificial Intelligence, pp. 23\u201334 (2020)","DOI":"10.1007\/978-3-030-60884-2_2"},{"key":"25_CR21","doi-asserted-by":"crossref","unstructured":"Camarena-Ibarrola, A., Luque, F., Ch\u00e1vez, E.: Speaker identification through spectral entropy analysis. In: 2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), pp. 1\u20136 (2017)","DOI":"10.1109\/ROPEC.2017.8261607"},{"key":"25_CR22","doi-asserted-by":"publisher","first-page":"16803","DOI":"10.1007\/s11042-018-7035-9","volume":"78","author":"F Luque-Suarez","year":"2019","unstructured":"Luque-Suarez, F., Camarena-Ibarrola, A., Ch\u00e1vez, E.: Efficient speaker identification using spectral entropy. Multimed. Tools Appl. 78, 16803\u201316815 (2019)","journal-title":"Multimed. Tools Appl."},{"key":"25_CR23","doi-asserted-by":"crossref","unstructured":"Likitha, M.S., Gupta, S.R.R., Hasitha, K., Raju, A.U.: Speech based human emotion recognition using mfcc. In: 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pp. 2257\u20132260 (2017)","DOI":"10.1109\/WiSPNET.2017.8300161"},{"key":"25_CR24","unstructured":"Sigurdsson, S., Petersen, K.B., Lehn-Schi\u00f8ler, T.: Mel frequency cepstral coefficients: an evaluation of robustness of mp3 encoded music. In: 2006 International Society for Music Information Retrieval, pp. 1\u20134 (2006)"},{"key":"25_CR25","unstructured":"Singh, R., Rao, P.: Spectral subtraction speech enhancement with rasta filtering, pp. 493\u2013497 (2016)"},{"key":"25_CR26","doi-asserted-by":"publisher","first-page":"578","DOI":"10.1109\/89.326616","volume":"2","author":"H Hermansky","year":"1994","unstructured":"Hermansky, H., Morgan, N.: Rasta processing of speech. IEEE Trans. Speech Audio Process. 2, 578\u2013589 (1994)","journal-title":"IEEE Trans. Speech Audio Process."},{"issue":"97","key":"25_CR27","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1121\/1.399849","volume":"88","author":"H Traunm\u00fcller","year":"1990","unstructured":"Traunm\u00fcller, H.: Analytical expressions for the tonotopic sensory scale. J. Acoust. Soc. Am. 88(97), 97\u2013100 (1990)","journal-title":"J. Acoust. Soc. Am."},{"issue":"6","key":"25_CR28","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1109\/89.799695","volume":"7","author":"JO Smith","year":"1999","unstructured":"Smith, J.O., Abel, J.S.: Bark and erb bilinear transforms. IEEE Trans. Speech Audio Process. 7(6), 697\u2013708 (1999)","journal-title":"IEEE Trans. Speech Audio Process."},{"key":"25_CR29","unstructured":"Mohammad-Djafari, A.: Entropie en traitement du signal. In: Laboratoire des Signaux et Systemes, pp. 1\u20139 (2001)"},{"key":"25_CR30","doi-asserted-by":"crossref","unstructured":"M\u00e1rquez, J.B.: Activity recognition using a spectral entropy signature. In: Proceedings of the 2012 ACM Conference on Ubiquitous Computing, Association for Computing Machinery, pp. 576\u2013579 (2012)","DOI":"10.1145\/2370216.2370313"},{"key":"25_CR31","volume-title":"Estimation of Dependences Based on Empirical Data: Springer Series in Statistics","author":"V Vapnik","year":"1982","unstructured":"Vapnik, V.: Estimation of Dependences Based on Empirical Data: Springer Series in Statistics. Springer, Berlin, Heidelberg (1982)"},{"key":"25_CR32","doi-asserted-by":"crossref","unstructured":"Vapnik, V.: The Nature of Statistical Learning Theory, vol. 8, pp. 1\u201315 (2000)","DOI":"10.1007\/978-1-4757-3264-1_1"},{"key":"25_CR33","volume-title":"Support Vector and Kernel Methods","author":"J Shawe-Taylor","year":"2007","unstructured":"Shawe-Taylor, J.: Support Vector and Kernel Methods. Springer, Berlin, Heidelberg (2007)"},{"key":"25_CR34","doi-asserted-by":"publisher","first-page":"2758","DOI":"10.1109\/78.650102","volume":"45","author":"B Scholkopf","year":"1997","unstructured":"Scholkopf, B., Sung, K.K., Burges, C., Girosi, F., Niyogi, P., Poggio, T., Vapnik, V.: Comparing support vector machines with gaussian kernels to radial basis function classifiers. IEEE Trans. Signal Process. 45, 2758\u20132765 (1997)","journal-title":"IEEE Trans. Signal Process."},{"key":"25_CR35","unstructured":"Witten, I.H., Frank, E., Hall, M.A.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann (2011)"},{"key":"25_CR36","unstructured":"Costantini, G., Iaderola, I., Paoloni, A., Todisco, M.: Emovo corpus: an italian emotional speech database. In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC\u201914), European Language Resources Association (ELRA), pp. 3501\u20133504 (2014)"},{"key":"25_CR37","doi-asserted-by":"crossref","unstructured":"Burkhardt, F., Paeschke, A., Rolfes, M., Sendlmeier, W., Weiss, B.: A database of german emotional speech, pp. 1517\u20131520 (2005)","DOI":"10.21437\/Interspeech.2005-446"},{"key":"25_CR38","unstructured":"Smales, M.: Sound classification using deep learning, vol. 34 (2018). https:\/\/github.com\/\/mikesmales\/\/Udacity-ML-Capstone\/\/blob\/\/master\/\/Report\/\/Report.pdf"}],"container-title":["Studies in Computational Intelligence","New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-55684-5_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T19:22:53Z","timestamp":1757100173000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-55684-5_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031556838","9783031556845"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-55684-5_25","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"22 May 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}