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Dec 10, 2021 · Artificial Intelligence

Deep Learning for Automatic Speech Recognition (ASR): From Mel Spectrograms to CTC Decoding

This article explains the end‑to‑end deep‑learning pipeline for speech‑to‑text, covering audio digitization, preprocessing with librosa, conversion to Mel spectrograms and MFCCs, data augmentation, a CNN‑RNN architecture, CTC loss, decoding strategies and evaluation with word error rate.

ASRAudio PreprocessingBeam Search
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Deep Learning for Automatic Speech Recognition (ASR): From Mel Spectrograms to CTC Decoding
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