Amit Meghanani

According to our database, Amit Meghanani authored at least 13 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

IQRA 2026: Interspeech Challenge on Automatic Assessment Pronunciation for Modern Standard Arabic (MSA).

Yassine El Kheir, Amit Meghanani, Mostafa Shahin, Omnia Ibrahim, Shammur Absar Chowdhury, Nada Almarwani, Yousseif Elshahawy, Ahmed Ali

CoRR, March, 2026

Position-invariant Fine-tuning of Speech Enhancement Models with Self-supervised Speech Representations.

Amit Meghanani, Thomas Hain

CoRR, January, 2026

2025

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study.

Yassine El Kheir, Omnia Ibrahim, Amit Meghanani, Nada Almarwani, Hawau Olamide Toyin, Sadeen Alharbi, Modar Alfadly, Lamya Alkanhal, Ibrahim Selim, Shehab Elbatal, Salima Mdhaffar, Thomas Hain, Yasser Hifny, Mostafa Shahin, Ahmed Ali

CoRR, June, 2025

Iqra'Eval: A Shared Task on Qur'anic Pronunciation Assessment.

Yassine El Kheir, Amit Meghanani, Hawau Olamide Toyin, Nada Almarwani, Omnia Ibrahim, Yousseif Elshahawy, Mostafa Shahin, Ahmed Ali

Proceedings of The Third Arabic Natural Language Processing Conference: ArabicNLP 2025, 2025

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Qur'anic Recitation as Case Study.

Yassine El Kheir, Omnia Ibrahim, Amit Meghanani, Nada Almarwani, Hawau Olamide Toyin, Sadeen Alharbi, Modar Alfadly, Lamya Alkanhal, Ibrahim Selim, Shehab Elbatal, Salima Mdhaffar, Thomas Hain, Yasser Hifny, Mostafa Shahin, Ahmed Ali

Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

2024

LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related Tasks.

Amit Meghanani, Thomas Hain

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

SCORE: Self-Supervised Correspondence Fine-Tuning for Improved Content Representations.

Amit Meghanani, Thomas Hain

Proceedings of the IEEE International Conference on Acoustics, 2024

Improving Acoustic Word Embeddings through Correspondence Training of Self-supervised Speech Representations.

Amit Meghanani, Thomas Hain

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Deriving Translational Acoustic Sub-Word Embeddings.

Amit Meghanani, Thomas Hain

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2021

Recognition of Alzheimer's Dementia From the Transcriptions of Spontaneous Speech Using fastText and CNN Models.

Amit Meghanani, Chandran Savithri Anoop, Angarai Ganesan Ramakrishnan

Frontiers Comput. Sci., 2021

An Exploration of Log-Mel Spectrogram and MFCC Features for Alzheimer's Dementia Recognition from Spontaneous Speech.

Amit Meghanani, Chandran Savithri Anoop, A. G. Ramakrishnan

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

2020

Pitch-synchronous Discrete Cosine Transform Features for Speaker Identification and Verification.

Amit Meghanani, A. G. Ramakrishnan

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

2018

Pitch-synchronous DCT features: A pilot study on speaker identification.

Amit Meghanani, A. G. Ramakrishnan

CoRR, 2018