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Home/Authors/Martin Meza

Martin Meza

1 indexed paper

Recent (6 mo)
1
With code
0
Influential cites
0
Benchmarked
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Publications per year

1
26

Top categories

Audio and Speech Processing×1

Frequent co-authors

Luciana Ferrer1×
Pablo Riera1×

Research Timeline

2026
Unsupervised Approaches for Global Prosodic Embedding Extraction

The paper proposes methods for generating global prosodic embeddings using auto-encoder models of pitch and energy, demonstrating competitive or superior performance under challenging conditions.

Highlighted terms show continued research focus across papers

Papers

eess.ASEmpiricalRecentJun 12, 2026

Unsupervised Approaches for Global Prosodic Embedding Extraction

Martin Meza, Luciana Ferrer, Pablo Riera

The paper proposes methods for generating global prosodic embeddings using auto-encoder models of pitch and energy, demonstrating competitive or superior performance under challenging conditions.

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