spotter

ractical implementation faces several hurdles: Acoustic Similarity to Other Fricatives Distinguishing /ʒ/ from /ʃ/ ("sh") and /dʒ/ ("j") can be tricky because of their acoustic similarities, especially in noisy environments. Data Scarcity High-quality, annotated dataset

feed into the machine learning models, which output probabilistic detections of the target phonemes. Challenges in Phoneme Spotting: Focus on "aw" and "au" Despite advances, detecting specific phonemes like "aw" and "au" remains challeng