Speech Emotion Recognition Based Patient Feedback for Hospitals
Keywords:
Speech Emotion Recognition, SER, Speech Transcriptions, Speech FeaturesAbstract
This paper presents design and implementation of a patient feedback system based on speech emotion recognition (SER) for hospital purpose. Reviews are recorded through the microphone and based on that emotions are generated. The proposed system is implemented using Speech Features and Speech Transcriptions, which include Spectrogram, Mel-Frequency Cepstral Coefficients (MFCC) and TextBlob. Using this features and transcriptions different aspects of emotions are detected.
References
- Suraj Tripathi1, Abhay Kumar1*, Abhiram Ramesh1*, Chirag Singh1*, Promod Yenigalla1, “Deep Learning based Emotion Recognition System Using Speech Features and Transcriptions, Samsung R&D Institute India – Bangalore , arXiv.org, 2019.
- Nithya Roopa S., Prabhakaran M, Betty.P, Nov 2018. “Speech Emotion Recognition using Deep Learning”. International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-7 Issue-4S, November 2018
- k Ashok Kumar, J L Mazher Iqbal . “Machine Learning Based Emotion Recognition using Speech Signal”. International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-9 Issue-1S5, December, 2019
- https://www.geeksforgeeks.org/speech-recognition-in-python-using-google-speech-api/
- https://www.tutorialspoint.com/artificial_intelligence_with_python/artificial_intelligence_with_python_speech_recognition.html
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