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This 36-minute conference talk from MLCon (Machine Learning Conference) explores cutting-edge research on Speech-to-Text systems specifically tailored for Turkish language in the telecom sector. Join Hatice Altinok as she presents comparative analysis of various AI models including Wav2Vec2, Whisper, TDNN, and LSTM, evaluating their performance when processing technical jargon and complex language scenarios in telecommunications. Learn which models excel at handling the unique challenges of Turkish speech recognition in real-world telecom applications.
