activity
20182025
most citedMulti-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning

69 citations · 117 across the 16 of their papers we have counts for

collaborators
Showing eess.ASShow all

5 papers · 1 filter

eess.AS2025

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition

Aref Farhadipour, Homayoon Beigi, Volker Dellwo +1

Whispered speech recognition presents significant challenges for conventional automatic speech recognition systems, particularly when combined with dialect variation. However, util…

eess.AS2022

Bi-LSTM Scoring Based Similarity Measurement with Agglomerative Hierarchical Clustering (AHC) for Speaker Diarization

Siddharth S. Nijhawan, Homayoon Beigi

Majority of speech signals across different scenarios are never available with well-defined audio segments containing only a single speaker. A typical conversation between two spea…

eess.AS2020★ 3 cited

Multi-Modal Emotion Detection with Transfer Learning

Amith Ananthram, Kailash Karthik Saravanakumar, Jessica Huynh +1

Automated emotion detection in speech is a challenging task due to the complex interdependence between words and the manner in which they are spoken. It is made more difficult by t…

eess.AS2020★ 17 cited

A Transfer Learning Method for Speech Emotion Recognition from Automatic Speech Recognition

Sitong Zhou, Homayoon Beigi

This paper presents a transfer learning method in speech emotion recognition based on a Time-Delay Neural Network (TDNN) architecture. A major challenge in the current speech-based…

eess.AS2020★ 2 cited

A New Approach to Accent Recognition and Conversion for Mandarin Chinese

Lin Ai, Shih-Ying Jeng, Homayoon Beigi

Two new approaches to accent classification and conversion are presented and explored, respectively. The first topic is Chinese accent classification/recognition. The second topic…