aoip.ai: An Open-Source P2P SDK

no code implementations • 1 Dec 2023 • Joseph Konan, Shikhar Agnihotri, Chia-Chun Hsieh

This white paper introduces aoip. ai, a groundbreaking open-source SDK incorporating peer-to-peer technology and advanced AI integration to transform VoIP and IoT applications.

Psychoacoustic Challenges Of Speech Enhancement On VoIP Platforms

no code implementations • 11 Oct 2023 • Joseph Konan, Ojas Bhargave, Shikhar Agnihotri, Shuo Han, Yunyang Zeng, Ankit Shah, Bhiksha Raj

Within the ambit of VoIP (Voice over Internet Protocol) telecommunications, the complexities introduced by acoustic transformations merit rigorous analysis.

Benchmarking Denoising +1

Improving Perceptual Quality, Intelligibility, and Acoustics on VoIP Platforms

no code implementations • 16 Mar 2023 • Joseph Konan, Ojas Bhargave, Shikhar Agnihotri, Hojeong Lee, Ankit Shah, Shuo Han, Yunyang Zeng, Amanda Shu, Haohui Liu, Xuankai Chang, Hamza Khalid, Minseon Gwak, Kawon Lee, Minjeong Kim, Bhiksha Raj

In this paper, we present a method for fine-tuning models trained on the Deep Noise Suppression (DNS) 2020 Challenge to improve their performance on Voice over Internet Protocol (VoIP) applications.

Multi-Task Learning Speech Enhancement +2

Cellular Network Speech Enhancement: Removing Background and Transmission Noise

no code implementations • 22 Jan 2023 • Amanda Shu, Hamza Khalid, Haohui Liu, Shikhar Agnihotri, Joseph Konan, Ojas Bhargave

The primary objective of speech enhancement is to reduce background noise while preserving the target's speech.

Speech Enhancement

Incorporating Localised Context in Wordnet for Indic Languages

no code implementations • LREC 2020 • Soumya Mohapatra, Shikhar Agnihotri, Apar Garg, Praveen Shah, Shampa Chakraverty

The vocabulary thus integrated follows the schema of the wordnet and generates exemplary sentences to illustrate the meaning and usage of the word.