Kensho Scribe is an advanced speech-to-text solution designed to deliver accurate and efficient transcriptions, even from complex, real-world audio. Tailored for industries such as business and finance, Scribe effectively handles challenges like accented speech, multiple speakers, industry-specific jargon, and nuanced language elements including mumbling and self-corrections. Key Features and Functionality: - Scribe HITL (Human-in-the-Loop: Combines automated transcription with professional human review, ensuring over 99% accuracy. This service is ideal for processing large volumes of audio swiftly, leveraging a team of trained transcriptionists specialized in industry-specific vocabulary. - Scribe AI: Utilizes sophisticated deep learning models to automatically transcribe audio into human- and machine-readable text. It adeptly manages business audio complexities, including industry jargon, accents, numbers, currencies, and product names, achieving approximately 95% accuracy. - Comprehensive Audio Handling: Scribe is optimized to process various audio challenges, such as heavily accented speech, multiple speakers (with speaker diarization, and the subtleties of spoken language, including filler words and self-corrections. - Extensive Training Data: Trained on over 100,000 hours of high-quality, domain-specific audio and corresponding transcripts, ensuring robust performance across diverse scenarios. Primary Value and User Solutions: Kensho Scribe addresses the critical need for accurate and efficient transcription services in sectors dealing with substantial audio data. By providing both automated and human-reviewed transcription options, it ensures high accuracy and reliability, making audio content accessible and searchable. This capability is invaluable for applications such as call centers, voicemails, depositions, interviews, closed captioning, compliance, podcasts, and earnings calls. Scribe's ability to handle complex audio scenarios empowers organizations to meet regulatory obligations, enhance communication strategies, and efficiently manage large volumes of audio data.