About

In speech production, vocal folds play a vital role in modulating airflow from lung through its quasiperiodic vibration. In between the vocal folds, a narrow opening is present which allows air to pass through the trachea called as glottis. The changes in shape or muscular properties of vocal folds lead to changes in the glottis opening. This causes variation in the voice like hoarseness and dysphonia. Many of these lead to an incomplete closure of the glottis during production of voice, this is termed as glottic chink. The glottic chink is typically visualized utilizing endoscopic or stroboscopic video by speech language pathologists (SLPs). This project aims at automatically localizing and segmenting the glottis in a stroboscopic video.

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Funding

• AIISH Research Fund (2019-2020)

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Publications

Journals (Accepted and/or Published):

1. Varun Belagali, Achuth Rao M V, Pebbili Gopikishore, Rahul Krishnamurthy, and P. K. Ghosh,"Two step convolutional neural network for automatic glottis localization and segmentation in stroboscopic videos" accepted in Biomed. Opt. Express 11, 4695-4713 2020[pdf] [codes]

Conferences (Accepted and/or Published):

1. Divya Degala, Achuth Rao M V, Rahul Krishnamurthy, Pebbili Gopikishore, Veeramani Priyadharshini, Prakash T K and P. K. Ghosh."Automatic Glottis Detection and Segmentation in Stroboscopic videos using Convolutional Networks",accepted in Interspeech 2020, Shanghai, China.[pdf][slides][presentation][poster] [codes]
2. Achuth Rao M V, Rahul Krishnamurthy, Pebbili Gopikishore, Veeramani Priyadarshini and Prasanta Kumar Ghosh, "Automatic glottis localization and segmentation in stroboscopic videos using deep neural network ",In Proc. Interspeech, Hyderabad, India,2018, Page(s): 3007-3011.[pdf] [poster] [codes]

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