activity
20202025
most citedImplementing contextual biasing in GPU decoder for online ASR

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SD2025

When De-noising Hurts: A Systematic Study of Speech Enhancement Effects on Modern Medical ASR Systems

Sujal Chondhekar, Vasanth Murukuri, Rushabh Vasani +8

Speech enhancement methods are commonly believed to improve the performance of automatic speech recognition (ASR) in noisy environments. However, the effectiveness of these techniq…

cs.CL2025

TokenVerse++: Towards Flexible Multitask Learning with Dynamic Task Activation

Shashi Kumar, Srikanth Madikeri, Esaú Villatoro-Tello +8

Token-based multitasking frameworks like TokenVerse require all training utterances to have labels for all tasks, hindering their ability to leverage partially annotated datasets a…

cs.CL2024

Fast Streaming Transducer ASR Prototyping via Knowledge Distillation with Whisper

Iuliia Thorbecke, Juan Zuluaga-Gomez, Esaú Villatoro-Tello +6

The training of automatic speech recognition (ASR) with little to no supervised data remains an open question. In this work, we demonstrate that streaming Transformer-Transducer (T…

cs.CL2024

Unifying Global and Near-Context Biasing in a Single Trie Pass

Iuliia Thorbecke, Esaú Villatoro-Tello, Juan Zuluaga-Gomez +9

Despite the success of end-to-end automatic speech recognition (ASR) models, challenges persist in recognizing rare, out-of-vocabulary words - including named entities (NE) - and i…

cs.CL2024

TokenVerse: Towards Unifying Speech and NLP Tasks via Transducer-based ASR

Shashi Kumar, Srikanth Madikeri, Juan Zuluaga-Gomez +6

In traditional conversational intelligence from speech, a cascaded pipeline is used, involving tasks such as voice activity detection, diarization, transcription, and subsequent pr…

eess.AS2023★ 1 cited

Implementing contextual biasing in GPU decoder for online ASR

Iuliia Nigmatulina, Srikanth Madikeri, Esaú Villatoro-Tello +4

GPU decoding significantly accelerates the output of ASR predictions. While GPUs are already being used for online ASR decoding, post-processing and rescoring on GPUs have not been…

eess.AS2020

Uniphore's submission to Fearless Steps Challenge Phase-2

Karthik Pandia D S, Cosimo Spera

We propose supervised systems for speech activity detection (SAD) and speaker identification (SID) tasks in Fearless Steps Challenge Phase-2. The proposed systems for both the task…