Výsledky vyhledávání - "Dhananjaya Gowda"

Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks

Autor: Bajibabu Bollepalli, Dhananjaya Gowda, Sudarsana Reddy Kadiri, Paavo Alku

Publikováno v: IEEE Access, Vol 9, Pp 151631-151640 (2021)

Formant tracking is investigated in this study by using trackers based on dynamic programming (DP) and deep neural nets (DNNs). Using the DP approach, six formant estimation methods were first compared. The six methods include linear prediction (LP)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c25112c4d64631d6828e00d65ef65f67

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Neural Utterance Confidence Measure for RNN-Transducers and Two Pass Models

Autor: Kwangyoun Kim, Shatrughan Singh, Dhananjaya Gowda, Ankur Kumar, Sachin K. Singh, Chanwoo Kim, Ashutosh Gupta

Publikováno v: ICASSP

In this paper, we propose methods to compute confidence score on the predictions made by an end-to-end speech recognition model in a 2-pass framework. We use RNN-Transducer for a streaming model, and an attention-based decoder for the second pass mod

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04efe267119dcc4d470432b1e380a249
https://doi.org/10.1109/icassp39728.2021.9414467

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Streaming end-to-end speech recognition with jointly trained neural feature enhancement

Autor: Seongkyu Mun, Chanwoo Kim, Changwoo Han, Abhinav Garg, Dhananjaya Gowda

Publikováno v: ICASSP

In this paper, we present a streaming end-to-end speech recognition model based on Monotonic Chunkwise Attention (MoCha) jointly trained with enhancement layers. Even though the MoCha attention enables streaming speech recognition with recognition ac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e231315fbf66e999f7738eaf902917b0
http://arxiv.org/abs/2105.01254

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