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