Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The role of emotions in human mental health is extremely important. Since spontaneous emotions in real scenarios are more challenging to detect than other emotions, emotion recognition in real scenarios has attracted a lot of attention in affective computing recently. Motivated by the aid of using the numerous outcomes of various lengths of audio spectrograms on emotion identification, this paper proposes a Long Short-Term Memory (LSTM) model for speech emotion recognition. Initially, a deep convolutional neural network (CNN) version is used to research deep segment-stage capabilities at the foundation of the created image-like 3 channels of spectrograms. Then, a deep LSTM version is followed on the idea of the found-out segment-stage CNN capabilities to seize the temporal dependency amongst all divided segments in an utterance for utterance-stage emotion recognition. Finally, special emotion recognition results, received with the aid of using combining CNN with LSTM at more than one length of segment-stage spectrograms, are included with the aid of using the use of a score-stage fusion strategy.
Keywords:
CNN, LSTM, Emotion and AlexNet
Cite Article:
"Emotion Identification in Speech Using Convolutional Neural Network and Long Short-Term Memory in Deep Learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 3, page no.205 - 209, March-2023, Available :http://www.ijrti.org/papers/IJRTI2303033.pdf
Downloads:
000206
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn