IBM Watson Speech to Text is a robust and flexible AI-powered service designed to convert human speech into written text with high accuracy. This service is ideal for a range of applications, including customer care, call analytics, and voice-automated chatbots.

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Key Features

  • High Accuracy: Leverages deep learning AI to understand grammar, language structure, and the composition of audio and voice signals, providing highly accurate transcriptions.
  • Customization: Supports language and acoustic model customization to improve accuracy for specific domains and audio characteristics. Users can also create custom dictionaries and grammars.
  • Multilingual Support: Supports numerous languages and dialects, including English, French, German, Spanish, Italian, Japanese, Korean, Brazilian Portuguese, and more.
  • Deployment Flexibility: Available as a managed cloud service, on-premises, or in hybrid environments, offering flexibility to meet various security and operational requirements.

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Advanced Technologies

  • Smart Formatting: Converts dates, times, numbers, currency values, email addresses, and other entities into conventional written forms in final transcripts.
  • Speaker Diarization: Identifies and differentiates between multiple speakers in a conversation, currently optimized for two-way call center conversations but can detect up to six speakers.
  • Low Latency: Optimized for low-latency real-time speech applications, making it suitable for live interactions and immediate transcriptions.
  • Audio Diagnostics: Analyzes and corrects weak audio signals before transcription begins, ensuring higher quality outputs.

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Use Cases

  1. Customer Self-Service: Enhances virtual assistants to handle common call center queries using Watson’s advanced AI capabilities.
  2. Call Analytics: Analyzes conversation logs to identify patterns, customer complaints, sentiment, and compliance issues, improving call center performance.
  3. Agent Assistance: Provides real-time transcription and search capabilities to assist call center agents during live interactions, enhancing productivity and customer satisfaction.