Zobrazeno 1 - 10
of 14 710
pro vyhledávání: '"P, Srikanth"'
Autor:
Peri, Raghuveer, Jayanthi, Sai Muralidhar, Ronanki, Srikanth, Bhatia, Anshu, Mundnich, Karel, Dingliwal, Saket, Das, Nilaksh, Hou, Zejiang, Huybrechts, Goeric, Vishnubhotla, Srikanth, Garcia-Romero, Daniel, Srinivasan, Sundararajan, Han, Kyu J, Kirchhoff, Katrin
Integrated Speech and Large Language Models (SLMs) that can follow speech instructions and generate relevant text responses have gained popularity lately. However, the safety and robustness of these models remains largely unclear. In this work, we in
Externí odkaz:
http://arxiv.org/abs/2405.08317
Recent progress in artificial intelligence (AI) has been driven by insights from neuroscience, particularly with the development of artificial neural networks (ANNs). This has significantly enhanced the replication of complex cognitive tasks such as
Externí odkaz:
http://arxiv.org/abs/2407.04525
Autor:
Kumar, Shashi, Madikeri, Srikanth, Zuluaga-Gomez, Juan, Nigmatulina, 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:
Kumar, Shashi, Madikeri, Srikanth, Zuluaga-Gomez, Juan, Villatoro-Tello, Esaú, Nigmatulina, Iuliia, Motlicek, Petr, E, Manjunath K, Ganapathiraju, Aravind
Self-supervised pretrained models exhibit competitive performance in automatic speech recognition on finetuning, even with limited in-domain supervised data for training. However, popular pretrained models are not suitable for streaming ASR because t
Externí odkaz:
http://arxiv.org/abs/2407.04439
Autor:
Kammakomati, Mehant, Pimparkhede, Sameer, Tamilselvam, Srikanth, Kumar, Prince, Bhattacharyya, Pushpak
Recent work shows Large Language Models (LLMs) struggle to understand natural language constraints for various text generation tasks in zero- and few-shot settings. While, in the code domain, there is wide usage of constraints in code format to maint
Externí odkaz:
http://arxiv.org/abs/2407.03387
Autor:
Nagesh, Srikanth T., Freundlich, Jonathan, Famaey, Benoit, Bílek, Michal, Candlish, Graeme, Ibata, Rodrigo, Müller, Oliver
Ultra-diffuse galaxies (UDGs) in the Coma cluster have velocity dispersion profiles that are in full agreement with the predictions of Modified Newtonian Dynamics (MOND) in isolation. However, the external field effect (EFE) from the cluster seriousl
Externí odkaz:
http://arxiv.org/abs/2407.03413
Automatic Speech Recognition (ASR) traditionally assumes known domains, but adding data from a new domain raises concerns about computational inefficiencies linked to retraining models on both existing and new domains. Fine-tuning solely on new domai
Externí odkaz:
http://arxiv.org/abs/2406.17935
Autor:
Pimparkhede, Sameer, Kammakomati, Mehant, Tamilselvam, Srikanth, Kumar, Prince, Kumar, Ashok Pon, Bhattacharyya, Pushpak
Recent developments show that Large Language Models (LLMs) produce state-of-the-art performance on natural language (NL) to code generation for resource-rich general-purpose languages like C++, Java, and Python. However, their practical usage for str
Externí odkaz:
http://arxiv.org/abs/2406.11925
Autor:
Gupta, Kishan, Pia, Nicola, Korse, Srikanth, Brendel, Andreas, Fuchs, Guillaume, Multrus, Markus
Error resilient tools like Packet Loss Concealment (PLC) and Forward Error Correction (FEC) are essential to maintain a reliable speech communication for applications like Voice over Internet Protocol (VoIP), where packets are frequently delayed and
Externí odkaz:
http://arxiv.org/abs/2406.08900
Autor:
Sivasothy, Shangeetha, Barnett, Scott, Logothetis, Rena, Abdelrazek, Mohamed, Rasool, Zafaryab, Thudumu, Srikanth, Brannelly, Zac
Engineering safety-critical systems such as medical devices and digital health intervention systems is complex, where long-term engagement with subject-matter experts (SMEs) is needed to capture the systems' expected behaviour. In this paper, we pres
Externí odkaz:
http://arxiv.org/abs/2406.06835