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Google Cloud Speech-to-Text review
Software Developer at a consultancy with 11-50 employees
Speaker diarization enhances call review processes but improvements needed in...
The major challenge with Google Cloud Speech-to-Text is that not every call is clear. Our representative may be in a silent environment, but the client can be anywhere. We need to manage background noise for all calls, so handling audio file clarity is a challenge. Sometimes, speaker diarization is affected, leading to incorrect speaker...
Google Cloud Speech-to-Text review
Vedant Patel
Joint Secretary at Computer Society of India, Nirma University · Self-employed
Consistent performance with accurate real-time transcription and seamless integration
Given the numerous accents and dialects in India, Google Cloud Speech-to-Text could improve its handling of Indian accents. When someone speaking imperfect English uses the software, it would be beneficial if the translation could autocorrect missing words or elements that the AI identifies as necessary to perfect the English translation.
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