arXiv Open Access 2016

Emotion Classification from Noisy Speech - A Deep Learning Approach

Rajib Rana

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Abstrak

This paper investigates the performance of Deep Learning for speech emotion classification when the speech is compounded with noise. It reports on the classification accuracy and concludes with the future directions for achieving greater robustness for emotion recognition from noisy speech.

Topik & Kata Kunci

cs.HC

Penulis (1)

Rajib Rana

Format Sitasi

APA MLA BibTeX

Rana, R. (2016). Emotion Classification from Noisy Speech - A Deep Learning Approach. https://arxiv.org/abs/1603.05901

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Informasi Jurnal

Tahun Terbit: 2016
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓