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Implementing and evaluating OpenAI whisper for accurate speaking assessment and skill development in Indonesian EFL classroom

This study investigates the implementation and effectiveness of an OpenAI Whisper-based automatic speech recognition (ASR) system for evaluating and improving the speaking skills of Indonesian EFL students. Employing a mixed-methods, one-group pretest-posttest design, the research involved 40 undergraduate students from Universitas Muhammadiyah Gresik.
Latifa, Salsabila, Maruf, Nirwanto
openaire   +1 more source

Model Compression for Deep Neural Networks: A Theoretical Review and Practical Application to OpenAI's Whisper Model

The rapid growth in the size and complexity of deep learning models poses challenges for deploying deep neural networks on resource-constrained devices. Driven by real-world business needs — such as reducing cloud infrastructure costs and enhancing data privacy in applications like Jabra’s call center solution — this thesis provides both a theoretical ...
Irigoyen Safar, Julian   +1 more
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Fine-tuning OpenAI's Whisper Model for Kazakh Speech Recognition

Bakdaulet Kynabay   +3 more
openaire   +1 more source

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