4 citations · 6 across the 7 of their papers we have counts for
7 papers
Speech DF Arena: A Leaderboard for Speech DeepFake Detection Models
Sandipana Dowerah, Atharva Kulkarni, Ajinkya Kulkarni +7
Parallel to the development of advanced deepfake audio generation, audio deepfake detection has also seen significant progress. However, a standardized and comprehensive benchmark…
Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems
Ajinkya Kulkarni, Atharva Kulkarni, Miguel Couceiro +1
In this paper, we present a bias and sustainability focused investigation of Automatic Speech Recognition (ASR) systems, namely Whisper and Massively Multilingual Speech (MMS), whi…
What Does it Take to Generalize SER Model Across Datasets? A Comprehensive Benchmark
Adham Ibrahim, Shady Shehata, Ajinkya Kulkarni +2
Speech emotion recognition (SER) is essential for enhancing human-computer interaction in speech-based applications. Despite improvements in specific emotional datasets, there is s…
The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese
Ajinkya Kulkarni, Anna Tokareva, Rameez Qureshi +1
In the field of spoken language understanding, systems like Whisper and Multilingual Massive Speech (MMS) have shown state-of-the-art performances. This study is dedicated to a com…
ArTST: Arabic Text and Speech Transformer
Hawau Olamide Toyin, Amirbek Djanibekov, Ajinkya Kulkarni +1
We present ArTST, a pre-trained Arabic text and speech transformer for supporting open-source speech technologies for the Arabic language. The model architecture follows the unifie…
Yet Another Model for Arabic Dialect Identification
Ajinkya Kulkarni, Hanan Aldarmaki
In this paper, we describe a spoken Arabic dialect identification (ADI) model for Arabic that consistently outperforms previously published results on two benchmark datasets: ADI-5…
Adapting the adapters for code-switching in multilingual ASR
Atharva Kulkarni, Ajinkya Kulkarni, Miguel Couceiro +1
Recently, large pre-trained multilingual speech models have shown potential in scaling Automatic Speech Recognition (ASR) to many low-resource languages. Some of these models emplo…