activity
20182025
most citedHuman Latency Conversational Turns for Spoken Avatar Systems

5 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2025

Evaluating ASR robustness to spontaneous speech errors: A study of WhisperX using a Speech Error Database

John Alderete, Macarious Kin Fung Hui, Aanchan Mohan

The Simon Fraser University Speech Error Database (SFUSED) is a public data collection developed for linguistic and psycholinguistic research. Here we demonstrate how its design an…

cs.HC2025★ 1 cited

Your voice is your voice: Supporting Self-expression through Speech Generation and LLMs in Augmented and Alternative Communication

Yiwen Xu, Monideep Chakraborti, Tianyi Zhang +3

In this paper, we present Speak Ease: an augmentative and alternative communication (AAC) system to support users' expressivity by integrating multimodal input, including text, voi…

cs.CL2024

Enhancing AAC Software for Dysarthric Speakers in e-Health Settings: An Evaluation Using TORGO

Macarious Hui, Jinda Zhang, Aanchan Mohan

Individuals with cerebral palsy (CP) and amyotrophic lateral sclerosis (ALS) frequently face challenges with articulation, leading to dysarthria and resulting in atypical speech pa…

cs.CL2024

A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks

Tianyi Zhang, Atta Norouzian, Aanchan Mohan +1

In virtual assistant (VA) systems it is important to reject or redirect user queries that fall outside the scope of the system. One of the most accurate approaches for out-of-scope…

cs.HC2024★ 5 cited

Human Latency Conversational Turns for Spoken Avatar Systems

Derek Jacoby, Tianyi Zhang, Aanchan Mohan +1

A problem with many current Large Language Model (LLM) driven spoken dialogues is the response time. Some efforts such as Groq address this issue by lightning fast processing of th…

eess.AS2018

Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition

Aditay Tripathi, Aanchan Mohan, Saket Anand +1

Recent advances in neural network based acoustic modelling have shown significant improvements in automatic speech recognition (ASR) performance. In order for acoustic models to be…