This startup offers speaker identification technology that integrates with transcription software. By accurately identifying individual speakers, the service enhances the clarity and usability of transcribed audio and video content.
Funding
Funding not disclosed
Founders
Product
Problem
Manually identifying speakers in audio and video recordings is a time-consuming and error-prone process, especially in scenarios with multiple speakers or poor audio quality. Generic diarization tools often lack the accuracy needed to attribute spoken content to specific individuals, hindering effective analysis and searchability of transcribed media.
Solution
SpeakerMap offers a speaker identification API that enhances the accuracy and usability of transcribed audio and video content. By submitting an audio file or utterance, users receive a diarized transcript enriched with speaker names, company affiliations, and titles. The API leverages a database of over 25,000 speakers across diverse domains, including corporate, government, and media, achieving a reported accuracy of 99%. SpeakerMap also provides disambiguation and search capabilities, allowing users to clarify speaker identities by submitting a name or voice sample to retrieve canonical names and aliases.
Target Audience
The primary target audience includes transcription service providers, media analysis firms, government agencies, and corporations that require accurate speaker identification for audio and video content.
Features
- Speaker identification API for diarized transcripts with speaker names, company, and title
- Disambiguation and search functionality to clarify speaker identities and aliases
- Support for full-length audio recordings, diarized transcripts, and brief audio samples
- Integration with transcription software for enhanced clarity and attribution
- Voice domain coverage including corporate, US government, journalists, and UK House of Parliament
- REST API with JSON output, including speaker profiles with LinkedIn URLs