Scribe’s models are trained on hundreds of hours of financial conversations to achieve greater accuracy for financial English other engines.
Scribe automatically detects speaker transitions in audio files, improving accuracy and creating a logical, timestamped transcript.
Scribe uses proprietary decoding techniques to transcribe audio 10x faster, enabling transcription of hour long audio in minutes allowing fast turnaround.
Scribe uses proprietary natural language processing libraries called Asset Class Interpreters to extract quote & trade data from a conversation.
Scribe’s Historical Transcription engine creates time-stamped, searchable, speaker separated transcripts from audio files. GreenKey’s engine can be used via our public API or in an on-premise environment through our Docker container image. You can even dial Scribe into your phone calls and automatically receive transcriptions to your email account.
Scribe’s natural language processing listens to audio streams in real-time to extract quote or trade metadata to populate a ticket or capture for general compliance purposes or more specifically for MiFID II compliance. Feed the engine audio files or real time streams from a computer or turret connected to our websocket API.
“Deck double you tea eye fifty bid” becomes Dec WTI 50b
GreenKey’s Insight engine returns sentiment, speakers, summarizations and keywords set by your organization and found in any audio file.