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IBM Watson Speech to Text

Score8.2 out of 10

16 Reviews and Ratings

What is IBM Watson Speech to Text?

IBM Watson Speech to Text supports conversion of audio and voice recordings to text in applications.

Categories & Use Cases

Product Demos

Who Buys & Uses IBM Watson Speech to Text

IBM Watson Speech to Text Usability Impact and Improvement Areas.

Use Cases and Deployment Scope

IBM Watson speech-to-text is a unique platform that accurately and precisely summarizes our executive and team meetings. It can convert calls and discussions into notes and highlight key points for reference. It also creates summaries and follow-up notifications for the next call or meeting. There is no doubt that it is increasing the team's productivity.

Pros

  • Converts meetings and calls into a summarize form.
  • Create follow ups for the team.
  • Create summaries with accurate notes with transparency.

Cons

  • Integration with third party tools.
  • Processing time for longer meetings.
  • Catches the background sound/narration, but can be reduced using noise-cancelling channels.

Return on Investment

  • Saving a lot of manual work.
  • Creates transcripts which is useful in the future.
  • It is accurate and makes information easier to share with team.
  • Fixing the points which it takes from the background noise.
  • Mostly positive ROI in terms of the eco system but takes a toll on pricing.

Usability

Alternatives Considered

CoPilot AI and Google Gemini

Other Software Used

Microsoft 365 Copilot

Most affordable speech to text tool

Use Cases and Deployment Scope

We are using IBM Watson Speech to Text in our virtual meetings. It can be integrated with various meeting clients like zoom. It provides real-time transcription and meeting summery also once the meeting is over. We are also working on using this tool as a API for different applications mostly for customer care services use cases.

Pros

  • Low latency Real time meeting transcription
  • Meeting summary
  • Customer call summary
  • Automatic speech recognition

Cons

  • More language support
  • Recognize multiple speaker when multiple people are there in meeting
  • AI summary can be improved.
  • can be better in filtering the noise

Return on Investment

  • Improving productivity
  • Less communication gap
  • better customer services
  • global collaboration made easy.

Alternatives Considered

Google Cloud Speech-to-Text and Amazon Transcribe

Other Software Used

Google Cloud Speech-to-Text, Amazon Transcribe