17 citations · 29 across the 8 of their papers we have counts for
9 papers
Modernizing Open-Set Speech Language Identification
Mustafa Eyceoz, Justin Lee, Homayoon Beigi
While most modern speech Language Identification methods are closed-set, we want to see if they can be modified and adapted for the open-set problem. When switching to the open-set…
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…
Automatic Spoken Language Identification using a Time-Delay Neural Network
Benjamin Kepecs, Homayoon Beigi
Closed-set spoken language identification is the task of recognizing the language being spoken in a recorded audio clip from a set of known languages. In this study, a language ide…
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…
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…
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…