4 citations · 8 across the 8 of their papers we have counts for
8 papers
How Attention Shapes Emotion: A Comparative Study of Attention Mechanisms for Speech Emotion Recognition
Marc Casals-Salvador, Federico Costa, Rodolfo Zevallos +1
Speech Emotion Recognition (SER) plays a key role in advancing human-computer interaction. Attention mechanisms have become the dominant approach for modeling emotional speech due…
Zero-Shot TTS With Enhanced Audio Prompts: Bsc Submission For The 2026 Wildspoof Challenge TTS Track
Jose Giraldo, Alex Peiró-Lilja, Rodolfo Zevallos +1
We evaluate two non-autoregressive architectures, StyleTTS2 and F5-TTS, to address the spontaneous nature of in-the-wild speech. Our models utilize flexible duration modeling to im…
Optimizing ASR for Catalan-Spanish Code-Switching: A Comparative Analysis of Methodologies
Carlos Mena, Pol Serra, Jacobo Romero +6
Code-switching (CS), the alternating use of two or more languages, challenges automatic speech recognition (ASR) due to scarce training data and linguistic similarities. The lack o…
Evaluating Self-Supervised Speech Representations for Indigenous American Languages
Chih-Chen Chen, William Chen, Rodolfo Zevallos +1
The application of self-supervision to speech representation learning has garnered significant interest in recent years, due to its scalability to large amounts of unlabeled data.…
Data Augmentation for Low-Resource Quechua ASR Improvement
Rodolfo Zevallos, Nuria Bel, Guillermo Cámbara +2
Automatic Speech Recognition (ASR) is a key element in new services that helps users to interact with an automated system. Deep learning methods have made it possible to deploy sys…
Huqariq: A Multilingual Speech Corpus of Native Languages of Peru for Speech Recognition
Rodolfo Zevallos, Luis Camacho, Nelsi Melgarejo
The Huqariq corpus is a multilingual collection of speech from native Peruvian languages. The transcribed corpus is intended for the research and development of speech technologies…
Preparing an Endangered Language for the Digital Age: The Case of Judeo-Spanish
Alp Öktem, Rodolfo Zevallos, Yasmin Moslem +2
We develop machine translation and speech synthesis systems to complement the efforts of revitalizing Judeo-Spanish, the exiled language of Sephardic Jews, which survived for centu…
Text-To-Speech Data Augmentation for Low Resource Speech Recognition
Rodolfo Zevallos
Nowadays, the main problem of deep learning techniques used in the development of automatic speech recognition (ASR) models is the lack of transcribed data. The goal of this resear…