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20212023
most citedModulation spectral features for speech emotion recognition using deep neural networks

72 citations · 83 across the 4 of their papers we have counts for

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5 papers

eess.AS2023

Wavelet Scattering Transform for Improving Generalization in Low-Resourced Spoken Language Identification

Spandan Dey, Premjeet Singh, Goutam Saha

Commonly used features in spoken language identification (LID), such as mel-spectrogram or MFCC, lose high-frequency information due to windowing. The loss further increases for lo…

eess.AS2023★ 72 cited

Modulation spectral features for speech emotion recognition using deep neural networks

Premjeet Singh, Md Sahidullah, Goutam Saha

This work explores the use of constant-Q transform based modulation spectral features (CQT-MSF) for speech emotion recognition (SER). The human perception and analysis of sound com…

eess.AS2022★ 11 cited

Analysis of constant-Q filterbank based representations for speech emotion recognition

Premjeet Singh, Shefali Waldekar, Md Sahidullah +1

This work analyzes the constant-Q filterbank-based time-frequency representations for speech emotion recognition (SER). Constant-Q filterbank provides non-linear spectro-temporal r…

eess.AS2021

Deep scattering network for speech emotion recognition

Premjeet Singh, Goutam Saha, Md Sahidullah

This paper introduces scattering transform for speech emotion recognition (SER). Scattering transform generates feature representations which remain stable to deformations and shif…

eess.AS2021

Non-linear frequency warping using constant-Q transformation for speech emotion recognition

Premjeet Singh, Goutam Saha, Md Sahidullah

In this work, we explore the constant-Q transform (CQT) for speech emotion recognition (SER). The CQT-based time-frequency analysis provides variable spectro-temporal resolution wi…