activity
20192026
most citedAn Attentional Neural Network Architecture for Folk Song Classification

3 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Identifying High-Confidence Social Biases in LLMs for Trustworthy Conversational Tutoring Agents

Aitor Arronte Alvarez, Naiyi Xie Fincham

Conversational tutoring agents have been shown to improve learning engagement and student outcomes, and large language models (LLMs) are increasingly used in these systems to provi…

eess.AS2020

Learning Intonation Pattern Embeddings for Arabic Dialect Identification

Aitor Arronte Alvarez, Elsayed Sabry Abdelaal Issa

This article presents a full end-to-end pipeline for Arabic Dialect Identification (ADI) using intonation patterns and acoustic representations. Recent approaches to language and d…

eess.AS2020★ 2 cited

Singer Identification Using Convolutional Acoustic Motif Embeddings

Aitor Arronte Alvarez, Francisco Gomez-Martin

Flamenco singing is characterized by pitch instability, micro-tonal ornamentations, large vibrato ranges, and a high degree of melodic variability. These musical features make the…

cs.SD2019★ 3 cited

An Attentional Neural Network Architecture for Folk Song Classification

Aitor Arronte-Alvarez, Francisco Gomez-Martin

In this paper we present an attentional neural network for folk song classification. We introduce the concept of musical motif embedding, and show how using melodic local context w…

cs.IR2019★ 2 cited

Distributed Vector Representations of Folksong Motifs

Aitor Arronte-Alvarez, Francisco Gómez-Martin

This article presents a distributed vector representation model for learning folksong motifs. A skip-gram version of word2vec with negative sampling is used to represent high quali…