Speech Emotion Recognition Using Machine Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5652-4_12
Reference20 articles.
1. New TL, Foo SW, De Silva LC (2003) Speech emotion recognition using hidden Markov models. Speech Commun 41(4): 603–623
2. El Ayadi M, Kamel MS, Karray F (2011) Survey on speech emotion recognition: features, classification schemes, and databases. Pattern Recognit 44(3):572–587
3. Byun S, Lee S (2016) Emotion recognition using tone and tempo based on voice for IoT. Trans Korean Inst Electr Eng 65(1):116–121. https://doi.org/10.5370/kiee.2016.65.1.116.
4. Hong I, Ko Y, Kim Y, Shin H (2019) A study on the emotional feature composed of the mel-frequency cepstral coefficient and the speech speed. J Comput Sci Eng 13(4):131–140. https://doi.org/10.5626/JCSE.2019.13.4.131
5. Likitha MS, Gupta SRR, Hasitha K, Raju AU (2017) Speech based human emotion recognition using MFCC. In: 2017 International conference on wireless communications, signal processing and networking (WiSPNET), pp 2257–2260. https://doi.org/10.1109/WiSPNET.2017.8300161
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