69 citations · 117 across the 16 of their papers we have counts for
16 papers
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…
MLP, XGBoost, KAN, TDNN, and LSTM-GRU Hybrid RNN with Attention for SPX and NDX European Call Option Pricing
Boris Ter-Avanesov, Homayoon Beigi
We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive n…
Spontaneous Informal Speech Dataset for Punctuation Restoration
Xing Yi Liu, Homayoon Beigi
Presently, punctuation restoration models are evaluated almost solely on well-structured, scripted corpora. On the other hand, real-world ASR systems and post-processing pipelines…
Carnatic Raga Identification System using Rigorous Time-Delay Neural Network
Sanjay Natesan, Homayoon Beigi
Large scale machine learning-based Raga identification continues to be a nontrivial issue in the computational aspects behind Carnatic music. Each raga consists of many unique and…
Robust Open-Set Spoken Language Identification and the CU MultiLang Dataset
Mustafa Eyceoz, Justin Lee, Siddharth Pittie +1
Most state-of-the-art spoken language identification models are closed-set; in other words, they can only output a language label from the set of classes they were trained on. Open…
Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural Network
Xing Yi Liu, Homayoon Beigi
Punctuation restoration plays an essential role in the post-processing procedure of automatic speech recognition, but model efficiency is a key requirement for this task. To that e…
A Transaction Represented with Weighted Finite-State Transducers
J. Nathaniel Holmes, Homayoon Beigi
Not all contracts are good, but all good contracts can be expressed as a finite-state transition system ("State-Transition Contracts"). Contracts that can be represented as State-T…
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…
Cross Lingual Cross Corpus Speech Emotion Recognition
Shivali Goel, Homayoon Beigi
The majority of existing speech emotion recognition models are trained and evaluated on a single corpus and a single language setting. These systems do not perform as well when app…
Cantonese Automatic Speech Recognition Using Transfer Learning from Mandarin
Bryan Li, Xinyue Wang, Homayoon Beigi
We propose a system to develop a basic automatic speech recognizer(ASR) for Cantonese, a low-resource language, through transfer learning of Mandarin, a high-resource language. We…
Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning
Samarth Tripathi, Sarthak Tripathi, Homayoon Beigi
Emotion recognition has become an important field of research in Human Computer Interactions as we improve upon the techniques for modelling the various aspects of behaviour. With…