Cited by 422Emotion and Mood RecognitionSpeech Recognition and SynthesisSpeech and Audio Processing

Efficient emotion recognition from speech using deep learning on spectrograms

Satt, Aharon, Rozenberg, Shai, Hoory, Ron·2017·Interspeech 2017

Integrity signals

Registry

Crossref · 10.21437/interspeech.2017-200

Cites

12 of 12 references verified0 citation errors · 0 not checkable

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Authors
Satt, A., Rozenberg, S., & Hoory, R.
Venue
Interspeech 2017
Publisher
ISCA
Published
2017-08-20
Pages
1089-1093
ISSN
2308-457X (ISSN-L)
OpenAlex
W2747664154
Cited by
422
References
12
Citations by year
2026: 17 · 2025: 39 · 2024: 45 · 2023: 59 · 2022: 62 · 2021: 90 · 2020: 53 · 2019: 43 · 2018: 14
FWCI
34.55
Type
conference paper
Language
en
Open access
closed
Locations
Interspeech (USB) (publishedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
  • Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
Keywords
emotion recognition, speech emotion recognition, spectrogram, deep learning, audio features

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