◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

G. Mantena

4 papers hereh-index 10398 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.AS2
  • cs.AI1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedBandwidth Embeddings for Mixed-bandwidth Speech Recognition

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2025

The Interspeech 2025 Speech Accessibility Project Challenge

Xiuwen Zheng, Bornali Phukon, Jonghwan Na +13

While the last decade has witnessed significant advancements in Automatic Speech Recognition (ASR) systems, performance of these systems for individuals with speech disabilities re…

cs.LG2024

Hypernetworks for Personalizing ASR to Atypical Speech

Max Müller-Eberstein, Dianna Yee, Karren Yang +2

Parameter-efficient fine-tuning (PEFT) for personalizing automatic speech recognition (ASR) has recently shown promise for adapting general population models to atypical speech. Ho…

eess.AS2023

Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models

Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula +5

While Automatic Speech Recognition (ASR) systems are widely used in many real-world applications, they often do not generalize well to new domains and need to be finetuned on data…

eess.AS2019★ 1 cited

Bandwidth Embeddings for Mixed-bandwidth Speech Recognition

Gautam Mantena, Ozlem Kalinli, Ossama Abdel-Hamid +1

In this paper, we tackle the problem of handling narrowband and wideband speech by building a single acoustic model (AM), also called mixed bandwidth AM. In the proposed approach,…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.