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Carlos Avendaño

2 accepted papers

2023

Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations

Vasudha Kowtha, Miquel Espi Marques, Jonathan Huang, Yichi Zhang, Carlos Avendaño
ICASSP 2023accepted

This work investigates pretrained audio representations for few shot Sound Event Detection. We specifically address the task of few shot detection of novel acoustic sequences, or sound events with semantically meaningful temporal structure, without assuming access to non-target audio. We develop pro…

Cited by 0Source ↗Scholar ↗
2023

Pre-Trained Model Representations and Their Robustness Against Noise for Speech Emotion Analysis

Vikramjit Mitra, Vasudha Kowtha, Hsiang-Yun Sherry Chien, Erdrin Azemi, Carlos Avendaño
ICASSP 2023accepted

Pre-trained model representations have demonstrated state-of-the-art performance in speech recognition, natural language processing, and other applications. Speech models, such as Bidirectional Encoder Representations from Transformers (BERT) and Hidden units BERT (HuBERT), have enabled generating l…

Cited by 0Source ↗Scholar ↗