Zobrazeno 1 - 10
of 361
pro vyhledávání: '"Pandia P."'
Publikováno v:
Acta Medica Bulgarica, Vol 51, Iss 3, Pp 1-5 (2024)
COPD patients not only experience respiratory problems but can have fatigue, physical limitations and reduced overall quality of life. Pulmonary rehabilitation is the main non-pharmacological solution after pharmacological treatment based on COPD gro
Externí odkaz:
https://doaj.org/article/a809ff1ecfa34e9c9324709516415cb0
Autor:
Thorbecke, Iuliia, Zuluaga-Gomez, Juan, Villatoro-Tello, Esaú, Carofilis, Andres, Kumar, Shashi, Motlicek, Petr, Pandia, Karthik, Ganapathiraju, Aravind
Despite the recent success of end-to-end models for automatic speech recognition, recognizing special rare and out-of-vocabulary words, as well as fast domain adaptation with text, are still challenging. It often happens that biasing to the special e
Externí odkaz:
http://arxiv.org/abs/2409.13514
Autor:
Thorbecke, Iuliia, Zuluaga-Gomez, Juan, Villatoro-Tello, Esaú, Kumar, Shashi, Rangappa, Pradeep, Burdisso, Sergio, Motlicek, Petr, Pandia, Karthik, Ganapathiraju, Aravind
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 (TT) models can be trained from scratch in consumer and accessible GPUs
Externí odkaz:
http://arxiv.org/abs/2409.13499
Autor:
Kumar, Shashi, Madikeri, Srikanth, Zuluaga-Gomez, Juan, Thorbecke, Iuliia, Villatoro-Tello, Esaú, Burdisso, Sergio, Motlicek, Petr, Pandia, Karthik, Ganapathiraju, Aravind
In traditional conversational intelligence from speech, a cascaded pipeline is used, involving tasks such as voice activity detection, diarization, transcription, and subsequent processing with different NLP models for tasks like semantic endpointing
Externí odkaz:
http://arxiv.org/abs/2407.04444
Autor:
Nigmatulina, Iuliia, Madikeri, Srikanth, Villatoro-Tello, Esaú, Motliček, Petr, Zuluaga-Gomez, Juan, Pandia, Karthik, Ganapathiraju, Aravind
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 properly investigated yet. Rescoring with available contextual inform
Externí odkaz:
http://arxiv.org/abs/2306.15685
Publikováno v:
Jurnal Akademi Akuntansi, Vol 7, Iss 4 (2024)
Purpose: This study aims to determine whether the role of information technology and credit quantity influences the presentation of quality financial statements, with the understanding of SAK-ETAP as a moderating variable in creative businesses in Me
Externí odkaz:
https://doaj.org/article/1d288d894dbd4d278fa11e5702f32dd7
As pre-trained language models (LMs) continue to dominate NLP, it is increasingly important that we understand the depth of language capabilities in these models. In this paper, we target pre-trained LMs' competence in pragmatics, with a focus on pra
Externí odkaz:
http://arxiv.org/abs/2109.12951
Autor:
Pandia, Lalchand, Ettinger, Allyson
Pre-trained LMs have shown impressive performance on downstream NLP tasks, but we have yet to establish a clear understanding of their sophistication when it comes to processing, retaining, and applying information presented in their input. In this p
Externí odkaz:
http://arxiv.org/abs/2109.12393
A Spoken dialogue system for an unseen language is referred to as Zero resource speech. It is especially beneficial for developing applications for languages that have low digital resources. Zero resource speech synthesis is the task of building text
Externí odkaz:
http://arxiv.org/abs/2009.04983
Autor:
S, Karthik Pandia D, Spera, Cosimo
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 tasks share a common convolutional neural network (CNN) architecture. Mel
Externí odkaz:
http://arxiv.org/abs/2006.05747