5 papers
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…
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…
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…
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…
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…