activity
20142023
most citedA Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications

5 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023

End-to-end Joint Punctuated and Normalized ASR with a Limited Amount of Punctuated Training Data

Can Cui, Imran Ahamad Sheikh, Mostafa Sadeghi +1

Joint punctuated and normalized automatic speech recognition (ASR) aims at outputing transcripts with and without punctuation and casing. This task remains challenging due to the l…

cs.CL2023★ 1 cited

End-to-end Multichannel Speaker-Attributed ASR: Speaker Guided Decoder and Input Feature Analysis

Can Cui, Imran Ahamad Sheikh, Mostafa Sadeghi +1

We present an end-to-end multichannel speaker-attributed automatic speech recognition (MC-SA-ASR) system that combines a Conformer-based encoder with multi-frame crosschannel atten…

eess.AS2019★ 5 cited

A Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications

Sri Harsha Dumpala, Imran Sheikh, Rupayan Chakraborty +1

Naturally introduced perturbations in audio signal, caused by emotional and physical states of the speaker, can significantly degrade the performance of Automatic Speech Recognitio…

cs.CL2015★ 4 cited

Learning to retrieve out-of-vocabulary words in speech recognition

Imran Sheikh, Irina Illina, Dominique Fohr +1

Many Proper Names (PNs) are Out-Of-Vocabulary (OOV) words for speech recognition systems used to process diachronic audio data. To help recovery of the PNs missed by the system, re…

cs.SD2014

Automatic Segmentation of Broadcast News Audio using Self Similarity Matrix

Sapna Soni, Ahmed Imran, Sunil Kumar Kopparapu

Generally audio news broadcast on radio is com- posed of music, commercials, news from correspondents and recorded statements in addition to the actual news read by the newsreader.…