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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.
Easily add real-time speech-to-text capabilities to your applications for scenarios like voice commands, conversation transcription, and call center log analysis.
Tailor your speech recognition models to adapt to users’ speaking styles, expressions, and unique vocabularies, and to accommodate background noises, accents, and voice patterns.
Build smart apps and services that speak to users naturally with the Text to Speech service. Convert text to audio in near real time, tailor to change the speed of speech, pitch, volume, and more.
Give your application a one-of-a-kind, recognizable brand voice using custom voice models. Simply record and upload training data, and the service will create a unique voice font tuned to your recording.
IBM Watson Speech To Text is ranked 3rd in Speech-To-Text Services with 1 review while Microsoft Azure Speech Service is ranked 2nd in Speech-To-Text Services. IBM Watson Speech To Text is rated 8.0, while Microsoft Azure Speech Service is rated 0.0. The top reviewer of IBM Watson Speech To Text writes "Easy to understand, configure, and use". On the other hand, IBM Watson Speech To Text is most compared with Google Cloud Speech-to-Text and Amazon Transcribe, whereas Microsoft Azure Speech Service is most compared with Google Cloud Speech-to-Text, Amazon Polly, Amazon Transcribe and Google Cloud Text-to-Speech.
See our list of best Speech-To-Text Services vendors.
We monitor all Speech-To-Text Services reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.