Search Results - "Rao M V, Achuth"

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  1. 1

    Automatic Identification of Speakers From Head Gestures in a Narration by Vadiraj, Sanjeev Kadagathur, Rao M .V., Achuth, Ghosh, Prasanta Kumar

    “…In this work, we focus on quantifying speaker identity information encoded in the head gestures of speakers, while they narrate a story. We hypothesize that…”
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    Conference Proceeding
  2. 2

    Automatic Classification of Healthy Subjects and Patients With Essential Vocal Tremor Using Probabilistic Source-Filter Model Based Noise Robust Pitch Estimation by Rao MV, Achuth, Yamini, B.K., Ketan, J., Preetie Shetty, A., Pal, Pramod Kumar, Shivashankar, N., Ghosh, Prasanta Kumar

    Published in Journal of voice (01-05-2023)
    “…Essential voice tremor (EVT) is a voice disorder resulting from dyscoordination within the laryngeal musculature. A low-frequency fluctuations of fundamental…”
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    Journal Article
  3. 3

    TLU-Net: A Deep Learning Approach for Automatic Steel Surface Defect Detection by Damacharla, Praveen, M. V., Achuth Rao, Ringenberg, Jordan, Javaid, Ahmad Y.

    “…Visual steel surface defect detection is an essential step in steel sheet manufacturing. Several machine learning-based automated visual inspection (AVI)…”
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    Conference Proceeding
  4. 4

    Two step convolutional neural network for automatic glottis localization and segmentation in stroboscopic videos by Belagali, Varun, Rao M V, Achuth, Gopikishore, Pebbili, Krishnamurthy, Rahul, Ghosh, Prasanta Kumar

    Published in Biomedical optics express (01-08-2020)
    “…Precise analysis of the vocal fold vibratory pattern in a stroboscopic video plays a key role in the evaluation of voice disorders. Automatic glottis…”
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    Journal Article
  5. 5

    Effect of source filter interaction on isolated vowel-consonant-vowel perception by Rao M V, Achuth, Victory J, Shiny, Ghosh, Prasanta Kumar

    “…Source-filter interaction explains the drop in pitch in voiced consonant due to constriction in the vocal tract during vowel-consonant-vowel (VCV) production…”
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    Journal Article
  6. 6

    SFNet: A Computationally Efficient Source Filter Model Based Neural Speech Synthesis by MV, Achuth Rao, Ghosh, Prasanta Kumar

    Published in IEEE signal processing letters (2020)
    “…Recently, neural speech synthesizers have achieved a high-quality synthesis for text-to-speech applications, but a real-time synthesis is possible only in the…”
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    Journal Article
  7. 7

    Trend Statistics Network and Channel invariant EEG Network for sleep arousal study by Rao, M.V. Achuth, Ghosh, Prasanta Kumar, Bhattacharjee, Tanuka, Choudhury, Anirban Dutta

    “…Sleep is a very important part of life. Lack of sleep or sleep disorder can cause a negative impact on day to day life and can have long term serious…”
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    Conference Proceeding Journal Article
  8. 8

    Automatic Classification of Volumes of Water Using Swallow Sounds from Cervical Auscultation by Subramani, Siddharth, Achuth Rao, M V, Giridhar, Divya, Hegde, Prasanna Suresh, Kumar Ghosh, Prasanta

    “…The signatures of swallowing vary depending on the volume of bolus swallowed. Among existing instrumental methods, cervical auscultation (CA) captures the…”
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    Conference Proceeding
  9. 9

    Glottal Inverse Filtering Using Probabilistic Weighted Linear Prediction by M.V., Achuth Rao, Ghosh, Prasanta Kumar

    “…Glottal inverse filtering is a noninvasive method for getting the glottal flow estimate from the speech. In this paper, we propose a method for glottal inverse…”
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    Journal Article
  10. 10

    Automatic Native Language Identification Using Novel Acoustic and Prosodic Feature Selection Strategies by Yarra, Chiranjeevi, Rao M.V., Achuth, Kumar Ghosh, Prasanta

    “…We consider the problem of automatic identification of native language (L1) of non-native English (L2) speakers from eleven L1 backgrounds. Analyzing the…”
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    Conference Proceeding
  11. 11

    Formant-gaps Features for Speaker Verification Using Whispered Speech by Naini, Abinay Reddy, M. V., Achuth Rao, Ghosh, Prasanta Kumar

    “…In this work, we propose a new feature based on formants for whispered speaker verification (SV) task, where neutral data is used for enrollment and whispered…”
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    Conference Proceeding
  12. 12

    SegNet-Based Deep Representation Learning for Dysphagia Classification by Subramani, Siddharth, V, Achuth Rao M, Roy, Anwesha, Hegde, Prasanna Suresh, Kumar Ghosh, Prasanta

    “…Swallowing disorders, broadly known as Dysphagia, are difficulties in the process of swallowing food. Many currently available methods for classifying healthy…”
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    Conference Proceeding
  13. 13

    Impact of Speaking Rate on the Source Filter Interaction in Speech: A Study by Purohit, Tilak, MV, Achuth Rao, Kumar Ghosh, Prasanta

    “…Source filter interaction (SFI) explains the drop in pitch caused due to the constriction in the vocal tract during voiced consonant production in a…”
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    Conference Proceeding
  14. 14

    Pseudo Likelihood Correction Technique for Low Resource Accented ASR by Rajpal, Avni, MV, Achuth Rao, Yarra, Chiranjeevi, Aggarwal, Ritu, Ghosh, Prasanta Kumar

    “…With the availability of large data, ASRs perform well on native English but poorly for non-native English data. Training nonnative ASRs or adapting a native…”
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    Conference Proceeding
  15. 15

    P- and T-wave delineation in ECG signals using parametric mixture Gaussian and dynamic programming by Rao MV, Achuth, Gupta, Prakhar, Ghosh, Prasanta Kumar

    Published in Biomedical signal processing and control (01-05-2019)
    “…•Detection and tracking of the P- and T-waves using two mixture Gaussian function and the Dynamic programming are proposed.•A key feature of the proposed…”
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    Journal Article
  16. 16

    PSFM-A Probabilistic Source Filter Model for Noise Robust Glottal Closure Instant Detection by Mv, Achuth Rao, Ghosh, Prasanta Kumar

    “…Accurate estimation of glottal closure instant (GCI) enables several pitch synchronous speech analysis, such as prosody modifications, glottal inverse…”
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    Journal Article
  17. 17

    A study on native American English speech recognition by Indian listeners with varying word familiarity level by Singh, Abhayjeet, MV, Achuth Rao, Vaideeswaran, Rakesh, Yarra, Chiranjeevi, Ghosh, Prasanta Kumar

    Published 08-12-2021
    “…In this study, listeners of varied Indian nativities are asked to listen and recognize TIMIT utterances spoken by American speakers. We have three kinds of…”
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    Journal Article
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    TLU-Net: A Deep Learning Approach for Automatic Steel Surface Defect Detection by Damacharla, Praveen, V, Achuth Rao M, Ringenberg, Jordan, Javaid, Ahmad Y

    Published 18-01-2021
    “…International Conference on Applied Artificial Intelligence (ICAPAI 2021), Halden, Norway, May 19-21, 2021 Visual steel surface defect detection is an…”
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    Journal Article
  20. 20

    Pitch prediction from Mel-generalized cepstrum - a computationally efficient pitch modeling approach for speech synthesis by Achuth Rao, M. V., Ghosh, Prasanta Kumar

    “…Text-to-speech (TTS) systems are often used as part of the user interface in wearable devices. Due to limited memory and computational/battery power in…”
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    Conference Proceeding