Výsledky vyhledávání - "Raghuveer Peri"

Temporal Dynamics of Workplace Acoustic Scenes: Egocentric Analysis and Prediction

Autor: Shrikanth S. Narayanan, Karel Mundnich, Tiantian Feng, Arindam Jati, Amrutha Nadarajan, Benjamin Girault, Raghuveer Peri

Publikováno v: IEEE/ACM Transactions on Audio, Speech, and Language Processing. 29:756-769

Identification of the acoustic environment from an audio recording, also known as acoustic scene classification, is an active area of research. In this paper, we study dynamically-changing background acoustic scenes from the egocentric perspective of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d808496767745dc7129eab8fcec52bfd
https://doi.org/10.1109/taslp.2021.3050265

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Meta-Learning With Latent Space Clustering in Generative Adversarial Network for Speaker Diarization

Autor: Somer L. Bishop, Manoj Kumar, Catherine Lord, Shrikanth S. Narayanan, Tae Jin Park, Monisankha Pal, So Hyun Kim, Raghuveer Peri

Publikováno v: IEEE/ACM Trans Audio Speech Lang Process

The performance of most speaker diarization systems with x-vector embeddings is both vulnerable to noisy environments and lacks domain robustness. Earlier work on speaker diarization using generative adversarial network (GAN) with an encoder network

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b725b5e574652addf4d59cd32f2e6329
https://doi.org/10.1109/taslp.2021.3061885

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Mel Frequency Spectral Domain Defenses against Adversarial Attacks on Speech Recognition Systems

Autor: Nicholas Mehlman, Anirudh Sreeram, Raghuveer Peri, Shrikanth Narayanan

A variety of recent works have looked into defenses for deep neural networks against adversarial attacks particularly within the image processing domain. Speech processing applications such as automatic speech recognition (ASR) are increasingly relyi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a90c30150d393649eb119a1522d5a575
http://arxiv.org/abs/2203.15283

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User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning

Autor: Tiantian Feng, Raghuveer Peri, Shrikanth Narayanan

Many existing privacy-enhanced speech emotion recognition (SER) frameworks focus on perturbing the original speech data through adversarial training within a centralized machine learning setup. However, this privacy protection scheme can fail since t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6e1f550a7d1ed9adb78b49c023d1df4

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A Computational Tool to Study Vocal Participation of Women in UN-ITU Meetings

Autor: Tracy Tuplin, Shrikanth S. Narayanan, Krishna Somandepalli, Fernando Rivera, Ruchir Travadi, Raghuveer Peri, Rajat Hebbar

Publikováno v: CBMI

International organizations such as the United Nations drive policies that impact our everyday lives. Diverse representation of people and ideas in the decision making process of such bodies is critical to ensure that the policies work for everyone.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8d2cf3d261cd57a75aa21234b18cbd6e
https://doi.org/10.1109/cbmi50038.2021.9461888

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Disentanglement for audio-visual emotion recognition using multitask setup

Autor: Srinivas Parthasarathy, Charles Bradshaw, Shiva Sundaram, Raghuveer Peri

Publikováno v: ICASSP

Deep learning models trained on audio-visual data have been successfully used to achieve state-of-the-art performance for emotion recognition. In particular, models trained with multitask learning have shown additional performance improvements. Howev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1db6fcd66624c0c304da28d70109d61d
http://arxiv.org/abs/2102.06269

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