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20152023
most citedEvaluating the Non-Intrusive Room Acoustics Algorithm with the ACE Challenge

2 citations · 3 across the 4 of their papers we have counts for

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eess.AS2023

On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer

Md Asif Jalal, Pablo Peso Parada, Jisi Zhang +5

Smart devices serviced by large-scale AI models necessitates user data transfer to the cloud for inference. For speech applications, this means transferring private user informatio…

eess.AS2022

pMCT: Patched Multi-Condition Training for Robust Speech Recognition

Pablo Peso Parada, Agnieszka Dobrowolska, Karthikeyan Saravanan +1

We propose a novel Patched Multi-Condition Training (pMCT) method for robust Automatic Speech Recognition (ASR). pMCT employs Multi-condition Audio Modification and Patching (MAMP)…