Sentiment analysis on speaker specific speech data
S Maghilnan,M Rajesh Kumar +1 more
- pp 1-5
TLDR
This paper performed sentiment analysis on speaker discriminated speech transcripts to detect the emotions of individual speakers involved in the conversation, and analyzed different techniques to perform speaker discrimination and sentiment analysis to find efficient algorithms to perform this task.Abstract:
Sentiment analysis has evolved over past few decades, most of the work in it revolved around textual sentiment analysis with text mining techniques. But audio sentiment analysis is still in a nascent stage in the research community. In this proposed research, we perform sentiment analysis on speaker discriminated speech transcripts to detect the emotions of the individual speakers involved in the conversation. We analyzed different techniques to perform speaker discrimination and sentiment analysis to find efficient algorithms to perform this task.read more
Citations
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Utterance-Based Audio Sentiment Analysis Learned by a Parallel Combination of CNN and LSTM.
Ziqian Luo,Hua Xu,Feiyang Chen +2 more
TL;DR: An utterance-based deep neural network model, which has a parallel combination of Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) based network, to obtain representative features termed Audio Sentiment Vector (ASV), that can maximally reflect sentiment information in an audio.
References
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Proceedings Article
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Proceedings ArticleDOI
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Tomi Kinnunen,Haizhou Li +1 more
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