Stream audio for real-time speech-to-text transcription with timestamps.
npx skills add https://github.com/obulai/obul-apis --skill obul-dtelecom
Please help me install this Agent Skill. Skill: obul-dtelecom Source: https://github.com/obulai/obul-apis/tree/main/skills/obul-dtelecom Command: npx skills add https://github.com/obulai/obul-apis --skill obul-dtelecom
This Skill provides highly accurate, real-time transcription of audio and speech into text, making spoken content accessible and processable for AI agents.
Use the obul-dtelecom skill to create a transcription session for 10 minutes of English audio.
High-intent search queries and answers about installing and using this skill.
Real-time speech-to-text transcription is achieved by streaming audio through a websocket session that returns live text with confidence scores and timestamps. This handles audio streaming and session management for extended recordings.
Transcribing live call audio in multiple languages is supported through a dual-engine architecture that processes over 99 languages. It includes VAD, noise reduction, and hallucination filtering to maintain transcription accuracy.
Websocket streaming supports extended audio recording sessions by managing session state and continuously processing speech to text. The service maintains the connection to provide continuous live transcriptions without interruption.
Real-time speech-to-text transcription costs $0.005 per minute of audio. This pricing structure makes it significantly cheaper than other transcription services, especially for processing longer audio durations.
The real-time STT service applies Voice Activity Detection (VAD), noise reduction, and hallucination filtering to the audio stream. These features ensure the transcribed text accurately reflects spoken content without ambient interference.
Analyzing live customer service calls involves streaming the call audio to a speech-to-text session to receive real-time transcriptions. The resulting text can then be processed by AI agents for sentiment analysis, keyword identification, and summarization.
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