Google Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy-to-use API. The API recognizes 120 languages and variants to support your global user base. You can enable voice command-and-control, transcribe audio from call centers, and more. It can process real-time streaming or prerecorded audio, using Google’s machine learning technology.
Cost-wise, I would say it is all-inclusive in the payment made to Google.
Cost-wise, I would say it is all-inclusive in the payment made to Google.
Amazon Transcribe makes it easy for developers to add speech-to-text capability to their applications. Audio data is virtually impossible for computers to search and analyze. Therefore, recorded speech needs to be converted to text before it can be used in applications. Historically, customers had to work with transcription providers that required them to sign expensive contracts and were hard to integrate into their technology stacks to accomplish this task. Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy.
I think the price on the standard is better for Amazon Transcribe than it is for Amazon Polly.
I think the price on the standard is better for Amazon Transcribe than it is for Amazon Polly.
Watson Speech to Text is a cloud-native solution that uses deep-learning AI algorithms to apply knowledge about grammar, language structure, and audio/voice signal composition to create customizable speech recognition for optimal text transcription.
Founded in 2020, REVAI s mission is to encourage Doctors and Clinics to start making anonymized data available for open research, while prompting citizens to become the ultimate owners and controllers of their health data. REVAI is intended to become a true information marketplace, based on new mechanisms of trust and direct, value-based relationships between citizens, hospitals, research centres and businesses.
