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20182026
most citedContext-Dependent Acoustic Modeling without Explicit Phone Clustering

9 citations · 21 across the 17 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

A Native-Reference Phone-Class Geometry for Second-Language Pronunciation Analysis

Tina Raissi, Nhan Phan, Chenxiao Wang +1

Automatic speaking assessment systems can provide holistic proficiency scores, but often lack interpretable measures that characterize pronunciation quality. We propose a native-re…

cs.CL2026

A Native-Reference Coordinate Geometry for L2 Pronunciation Deviation Using Self-Supervised Speech Models

Tina Raissi, Nhan Phan, Mikko Kurimo

Self-supervised speech models encode rich phonetic information, but it remains unclear how to transform this information into interpretable metrics for second-language (L2) pronunc…

cs.CL2025

Supplementary Resources and Analysis for Automatic Speech Recognition Systems Trained on the Loquacious Dataset

Nick Rossenbach, Robin Schmitt, Tina Raissi +3

The recently published Loquacious dataset aims to be a replacement for established English automatic speech recognition (ASR) datasets such as LibriSpeech or TED-Lium. The main goa…

cs.CL2022★ 2 cited

Development of Hybrid ASR Systems for Low Resource Medical Domain Conversational Telephone Speech

Christoph Lüscher, Mohammad Zeineldeen, Zijian Yang +6

Language barriers present a great challenge in our increasingly connected and global world. Especially within the medical domain, e.g. hospital or emergency room, communication dif…

cs.CL2020

Improved Robustness to Disfluencies in RNN-Transducer Based Speech Recognition

Valentin Mendelev, Tina Raissi, Guglielmo Camporese +1

Automatic Speech Recognition (ASR) based on Recurrent Neural Network Transducers (RNN-T) is gaining interest in the speech community. We investigate data selection and preparation…