Speculative Speech Recognition by Audio-Prefixed Low-Rank Adaptation of Language Models

B Yusuf, MK Baskar, A Rosenberg… - arxiv preprint arxiv …, 2024 - arxiv.org
This paper explores speculative speech recognition (SSR), where we empower
conventional automatic speech recognition (ASR) with speculation capabilities, allowing the …

Machine learning in agricultural economics

K Baylis, T Heckelei, H Storm - Handbook of Agricultural Economics, 2021 - Elsevier
With the substantial growth in novel data sources and computational power, machine
learning holds great potential for economic analysis. However, like any new approach, the …

[HTML][HTML] SECRETS: Subject-efficient clinical randomized controlled trials using synthetic intervention

S Lala, NK Jha - Contemporary Clinical Trials Communications, 2024 - Elsevier
Background: The parallel-group randomized controlled trial (RCT) is commonly used in
Phase-3 clinical trials to establish treatment effectiveness but requires hundreds-to …

Please, Don't Forget the Difference and the Confidence Interval when Seeking for the State-of-the-Art Status

Y Bestgen - arxiv preprint arxiv:2205.11134, 2022 - arxiv.org
This paper argues for the widest possible use of bootstrap confidence intervals for
comparing NLP system performances instead of the state-of-the-art status (SOTA) and …

Modeling dependent structure for utterances in ASR evaluation

Z Liu, F Peng - arxiv preprint arxiv:2209.05281, 2022 - arxiv.org
The bootstrap resampling method has been popular for performing significance analysis on
word error rate (WER) in automatic speech recognition (ASR) evaluation. To deal with …

Designing Efficient Clinical Randomized Controlled Trials with Limited Data Using Artificial Intelligence

S Lala - 2024 - search.proquest.com
Approximately 10K diseases affect the population worldwide, yet only a small fraction of
these diseases has some form of treatment, resulting in poor quality of life and shorter …