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This article is from 2010, and it says that as of 2010, progress on speech recognition flatlined since 2001 Is this still the case? How does 2001 software com
by nextaccountic 4y ago
This article is from 2010, and it says that as of 2010, progress on speech recognition flatlined since 2001
Is this still the case?
How does 2001 software compares to 2023 software? Or 2010 to 2023 for that matter
- nmfisher 4y agoSpeech recognition is leaps and bounds ahead of where it was in 2001/2010, driven by a combination of deep learning and massive datasets. I'm actually working on a similar concept (speech recognition for Mandarin language learning) and even accented speech is becoming less of a problem. I haven't tried differentiating tones for discrete words with the recent batch of generic models but I think it might still struggle. I suspect a fine-tuned task-specific classifier might be needed for decent results.