Quorate is a Speech Recognition and Analysis Suite that unlocks information in recordings.


Recorded speech can now be made searchable and transcripts can be generated automatically.

Quorate enables search terms to be located in both the recording and in a computer-generated transcript.


Recorded speech can now be explored with ease.

Quorate generates keyword summaries of recordings. These keywords represent the terms that best characterise a single recording in the context of a group of recordings.


Recorded speech can now be examined from many perspectives.

Quorate extracts rich metadata in order to enable recordings to be segmented, filtered and connected to related materials.



Unlock otherwise difficult to access information from recordings using Quorate’s multifaceted view of captured content.


Save time searching through recordings, extracting insights and preparing transcripts with Quorate’s automatic speech recognition and audio analysis tools.


Make audio content accessible and discoverable to search engines with the transcripts and keywords that Quorate generates automatically.

Key Features


Types of Audio

Quorate accepts audio from all forms of recording such as podcasts, videos, telephone calls, radio communications and captured meetings.

Number of Speakers

Quorate can accommodate multiple speakers and accents in the same recording and participants do not need to be enrolled on the system.

Natural Speech

Quorate can recognise natural speech from conversations, presentations and discussions.


Speech Recognition

Quorate's speech recognition engine enables recorded speech to be transcribed automatically.

The mention of each word within a recording can be pinpointed and replayed because the transcripts are also aligned to the audio.


Quorate's speaker diarisation function enables recordings to be both segmented and searched by speaker.

Different speakers within a recording are identified and each spoken word is attributed to the relevant speaker.

Content Linking

Quorate employs information retrieval techniques in order to automatically highlight commonality between multiple recordings.

Relationships between recorded speech and text documents such as websites can also be discovered.


Quorate's natural language processing system enables recordings to be summarised automatically.

A useful overview of a recording is provided by identifying and extracting the key words that help to summarise its contents.



Quorate can be hosted either in the cloud, or behind your firewall for additional security.


RESTful web API's are provided for all of Quorate's functionality, thereby enabling easy integration with existing content management systems.


Quorate's speech recognition system is fully automated. This makes it practical for large volumes of recorded data to be processed.


Domain Adaptation

Quorate can be tailored to a particular domain by incorporating specialised vocabulary and by accounting for recording conditions.


Quorate can be configured to provide appropriate information in the format best suited to the application.

Research and Development

Quorate benefits from access to the latest research that drives a programme of continuous product development.


Quorate Technology Limited is a spin-out from The University of Edinburgh’s world-leading Centre for Speech Technology Research.

The company was founded in 2012 by a team of highly qualified experts in speech recognition, natural language processing and software engineering.

Quorate Technology Limited continues to collaborate very closely with the Centre for Speech Technology Research. This powerful relationship ensures that the company is ideally placed to benefit from the latest advances in automatic speech recognition and natural language processing.

Get in touch

Quorate Technology Limited
2nd Floor, Wilkie Building
22-23 Teviot Row

+44(0)131 651 3280

+44(0)797 028 7761