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20162025
most citedNeural Network Based Speaker Classification and Verification Systems with Enhanced Features

2 citations · 6 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.CL2025

Improving endpoint detection in end-to-end streaming ASR for conversational speech

Anandh C, Karthik Pandia Durai, Jeena Prakash +6

ASR endpointing (EP) plays a major role in delivering a good user experience in products supporting human or artificial agents in human-human/machine conversations. Transducer-base…

cs.CL2024

Performance evaluation of SLAM-ASR: The Good, the Bad, the Ugly, and the Way Forward

Shashi Kumar, Iuliia Thorbecke, Sergio Burdisso +7

Recent research has demonstrated that training a linear connector between speech foundation encoders and large language models (LLMs) enables this architecture to achieve strong AS…

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…

cs.CL2022★ 2 cited

Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks

Esaú Villatoro-Tello, Srikanth Madikeri, Juan Zuluaga-Gomez +6

In this paper, we perform an exhaustive evaluation of different representations to address the intent classification problem in a Spoken Language Understanding (SLU) setup. We benc…

cs.CL2016

Generation and Pruning of Pronunciation Variants to Improve ASR Accuracy

Zhenhao Ge, Aravind Ganapathiraju, Ananth N. Iyer +2

Speech recognition, especially name recognition, is widely used in phone services such as company directory dialers, stock quote providers or location finders. It is usually challe…