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pro vyhledávání: '"Paturi, Rohit"'
End-to-end neural diarization (EEND) models offer significant improvements over traditional embedding-based Speaker Diarization (SD) approaches but falls short on generalizing to long-form audio with large number of speakers. EEND-vector-clustering m
Externí odkaz:
http://arxiv.org/abs/2406.18679
Speaker Diarization (SD) systems are typically audio-based and operate independently of the ASR system in traditional speech transcription pipelines and can have speaker errors due to SD and/or ASR reconciliation, especially around speaker turns and
Externí odkaz:
http://arxiv.org/abs/2406.17266
Autor:
Das, Nilaksh, Dingliwal, Saket, Ronanki, Srikanth, Paturi, Rohit, Huang, Zhaocheng, Mathur, Prashant, Yuan, Jie, Bekal, Dhanush, Niu, Xing, Jayanthi, Sai Muralidhar, Li, Xilai, Mundnich, Karel, Sunkara, Monica, Srinivasan, Sundararajan, Han, Kyu J, Kirchhoff, Katrin
Large language models (LLMs) have shown incredible proficiency in performing tasks that require semantic understanding of natural language instructions. Recently, many works have further expanded this capability to perceive multimodal audio and text
Externí odkaz:
http://arxiv.org/abs/2405.08295
Autor:
Elluru, Veera Raghavendra, Kulshreshtha, Devang, Paturi, Rohit, Bodapati, Sravan, Ronanki, Srikanth
Spoken language understanding systems using audio-only data are gaining popularity, yet their ability to handle unseen intents remains limited. In this study, we propose a generalized zero-shot audio-to-intent classification framework with only a few
Externí odkaz:
http://arxiv.org/abs/2311.02482
Autor:
Zuluaga-Gomez, Juan, Huang, Zhaocheng, Niu, Xing, Paturi, Rohit, Srinivasan, Sundararajan, Mathur, Prashant, Thompson, Brian, Federico, Marcello
Conventional speech-to-text translation (ST) systems are trained on single-speaker utterances, and they may not generalize to real-life scenarios where the audio contains conversations by multiple speakers. In this paper, we tackle single-channel mul
Externí odkaz:
http://arxiv.org/abs/2311.00697
The media localization industry usually requires a verbatim script of the final film or TV production in order to create subtitles or dubbing scripts in a foreign language. In particular, the verbatim script (i.e. as-broadcast script) must be structu
Externí odkaz:
http://arxiv.org/abs/2308.02160
Speaker diarization (SD) is typically used with an automatic speech recognition (ASR) system to ascribe speaker labels to recognized words. The conventional approach reconciles outputs from independently optimized ASR and SD systems, where the SD sys
Externí odkaz:
http://arxiv.org/abs/2306.09313
Many of the recent advances in speech separation are primarily aimed at synthetic mixtures of short audio utterances with high degrees of overlap. Most of these approaches need an additional stitching step to stitch the separated speech chunks for lo
Externí odkaz:
http://arxiv.org/abs/2112.05863