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Dragon Medical Practice

Speech recognition can be used to create documents of all kinds, as well as to operate your PC.

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Dragon Medical Practice Alternatives

The best Dragon Medical Practice alternatives based on verified products, votes, reviews and other factors.
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  1. IBM Watson Speech to Text is a tool that can be used anywhere if there is a need to bridge the gap between the spoken word and its written form, it uses machine intelligence to combine information about grammar and language structure.

  2. Sensory provides accurate, low-cost embedded voice and biometric AI. Sensoryโ€™s technologies have shipped in over a billion units of consumer products.

  3. Spok Speech Solutions allows organization to process routine phone requests such as transfers, directory assistance, messaging, and paging without live operators, letting to manage call volumes, operator workloads, and keeping calls from dropping.

  4. Recorded and transcribed calls for team collaboration

  5. Search engine for speech

  6. Jasper is an open source platform for developing always-on, voice-controlled applications.

  7. As experts in Machine Learning, Speechmatics provides Automatic Speech Recognition available in private or public clouds and securely on-premises.

  8. FTW Transcriber is transcription software that offers great time-saving features like automatic timestamps and superior sound quality and more.

  9. LumenVox Automated Speech Recognizer (ASR) is a software solution that converts spoken audio into text, providing users with a more efficient means of input.

  10. Press Ctrl+D to instantly start typing with your voice anywhere on your Windows Desktop or Laptop.

  11. Hidden Markov Model Toolkit (HTK) is a portable toolkit used for speech recognition research, speech synthesis, character recognition and DNA sequencing.

  12. Vox Neural's advanced AI engine delivers high quality fully automated voice recognition using a simple and easy to implement HTTP API.

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This article was published on | Author: | Publisher: SaaSHub
Categories: Speech Recognition And Processing, Knowledge Sharing, Productivity