Google largely sticks to recognizing words based on their audio signatures and stringing them together. Since this software can accept custom speech models, it also handles accents, lisps, and other speech impediments significantly better than Google’s Speech-to-Text platform. The difference is that Microsoft’s software uses AI to make sure that what it’s transcribing makes linguistic sense. Performanceįor straightforward audio transcription, Microsoft Azure Speech Service tends to perform better than Google Cloud Speech-to-Text. So, you can easily use either of these speech-to-text apps for transcribing meetings and conference calls. So, if the software is having trouble recognizing words, it could prompt the speaker to talk more slowly or clearly to achieve better results.īoth Microsoft and Googles’ platforms automatically detect when there are multiple speakers in a recording. Speech Service’s API also enables you to code real-time feedback. This is especially helpful if you frequently experience audio noise in a conference room or over a headset. Or, Speech Service supports acoustic models that you can use to cancel out noise in your recordings. You can feed the software a custom speech model to help you improve accuracy for a single speaker or for speakers with a regional accent. Microsoft Azure Speech Service is more feature-rich when it comes to getting your transcription exactly right. Amazon Transcribe Medical provides transcription expertise for primary care and specialty care areas such as cardiology, neurology, obstetrics-gynecology, pediatrics, oncology, radiology and urology.Google Cloud Speech-to-Text supports punctuation and recognizes multiple speakers in recordings. The service is HIPAA-eligible and prioritizes patient data privacy and security. Amazon Transcribe Medical can serve a diverse range of use cases such as transcribing physician-patient conversations for clinical documentation, capturing phone calls in pharmacovigilance, or subtitling telehealth consultations.Īmazon Transcribe Medical is available as a set of public APIs that can address both batch workloads and real-time speech-to-text applications. Some organizations use existing medical transcription software, but find them inefficient and low in quality.ĭriven by state-of-the-art machine learning, Amazon Transcribe Medical accurately transcribes medical terminologies such as medicine names, procedures, and even conditions or diseases. However, accurate medical transcriptions such as dictation recorders and scribes are expensive, time consuming, and disruptive to the patient experience. It’s critically important that this information is accurate. Conversations between health care providers and patients provide the foundation of a patient’s diagnosis and treatment plan and clinical documentation workflow. Amazon Transcribe Medical is an automatic speech recognition (ASR) service that makes it easy for you to add medical speech-to-text capabilities to your voice-enabled applications.
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