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arXiv · 2410.05724

Exploring rhythm formant analysis for Indic language classification

Parismita Gogoi·Sishir Kalita·Priyankoo Sarmah·S. R Mahadeva Prasanna
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Abstract

This paper reports a preliminary study on quantitative frequency domain rhythm cues for classifying five Indian languages: Bengali, Kannada, Malayalam, Marathi, and Tamil. We employ rhythm formant (R-formants) analysis, a technique introduced by Gibbon that utilizes low-frequency spectral analysis of amplitude modulation and frequency modulation envelopes to characterize speech rhythm. Various measures are computed from the LF spectrum, including R-formants, discrete cosine transform-based measures, and spectral measures. Results show that threshold-based and spectral features outperform directly computed R-formants. Temporal pattern of rhythm derived from LF spectrograms provides better language-discriminating cues. Combining all derived features we achieve an accuracy of 69.21% and a weighted F1 score of 69.18% in classifying the five languages. This study demonstrates the potential of RFA in characterizing speech rhythm for Indian language classification.

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BibTeXRIS

Parismita Gogoi, Sishir Kalita, Priyankoo Sarmah, S. R Mahadeva Prasanna. 2024-10-08. Exploring rhythm formant analysis for Indic language classification. https://arxiv.org/abs/2410.05724

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