4 papers
Teaching the Teachers: Boosting unsupervised domain adaptation in speech recognition by ensemble update
Rehan Ahmad, Muhammad Umar Farooq, Qihang Feng +1
Speech recognition systems often struggle with data domains that have not been included in the training. To address this, unsupervised domain adaptation has been explored with ense…
Position-invariant Fine-tuning of Speech Enhancement Models with Self-supervised Speech Representations
Amit Meghanani, Thomas Hain
Integrating front-end speech enhancement (SE) models with self-supervised learning (SSL)-based speech models is effective for downstream tasks in noisy conditions. SE models are co…
Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study
Yassine El Kheir, Omnia Ibrahim, Amit Meghanani +12
We present a unified benchmark for mispronunciation detection in Modern Standard Arabic (MSA) using Qur'anic recitation as a case study. Our approach lays the groundwork for advanc…
SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning
Prabhat Pandey, Rupak Vignesh Swaminathan, K V Vijay Girish +4
We introduce SIFT (Speech Instruction Fine-Tuning), a 50M-example dataset designed for instruction fine-tuning and pre-training of speech-text large language models (LLMs). SIFT-50…