SCIENCE. ARTIFICIAL INTELLIGENCE. GENERALISATION.
ABOUT SAIGEN
Saigen is part of the Alphawave group, which employs 375+ people, 175+ of which are engineers and developers
We develop customised large-vocabulary speech-recognition systems for commercial applications. While being well-published academics, we have also collaborated with international partners to solve interesting and challenging problems: we were part of the consortium which won the recent IARPA-sponsored spoken term detection Babel-program, we worked with Google on Voice search for the South African languages and were the first to build speech recognition systems in all 11 of South Africa’s official languages.
CUSTOMISED LARGE-VOCABULARY SPEECH RECOGNITION
Highly accurate speech recognition is one of the most exciting results of the Deep-Learning revolution. Until recently, such accuracy could only be achieved within severely restricted domains, by limiting the ‘vocabulary’ of words to be recognised. Through the magic of Deep Learning, we can now recognise virtually unrestricted domains with sufficient accuracy to support commercial applications.
At Saigen, we develop such large-vocabulary recognisers that are optimised for our customers’ specific needs. In a call centre, for example, the requirement may be for highly accurate recognition of certain key elements (related to legal compliance, for example) while maintaining good coverage of a broad domain of other topics that may occur in a telephone conversation. Or a media monitoring company may need adaptable keyword recognition in several languages, for which Deep-Learning based speech recognition is not available.
COMPANIES WE’VE WORKED WITH
SOLUTIONS
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TRY OUR SPEECH RECOGNISER
To request a free trial visit saigen.ai/register.
Supported languages: SA English, isiZulu, Sesotho and Afrikaans.
CUTTING-EDGE SPEECH RECOGNITION FEATURES
South African
Trained specifically for how South Africans speak, by
South Africans
Speech / non-speech classification
Know exactly when and how much time your agents spoke
Multi-lingual
We have models for English (mature), Afrikaans, isiZulu and Sesotho (early days but working)
APPLICATION EXAMPLES
Speech analytics in the call centre. In a large call centre, thousands of hours of speech are recorded each day. That speech is a potential treasure trove of information on topics such as the following:
Are operators complying with the legal and other requirements of their respective tasks? Are there identifiable operator behaviours that correlate with successful call outcomes? Are customers raising common issues that are not known within the rest of the business? In many call centres such issues are partially addressed by quality-control staff who listen to a small sample of the recorded calls. However, such QC is both expensive and limited in scope, since it is difficult for each QC auditor to keep track of the statistics of subtle patterns that occur in highly variable telephone conversations.
We therefore offer speech-recognition based speech analytics, that is optimised for the dialogues that occur in a particular call centre. This solution, which can be cloud-based or deployed on-premise, is surprisingly cost-effective and can discover patterns in both customer and operator speech turns that have significant business impact.
Monitoring web-based and broadcast media:
Podcasts, radio and TV broadcasts, user-generated content in social media … there is a massive universe of spoken content that is available to the public but hard to utilize for business purposes. However, by tailoring a speech-recognition platform to transcribe such content, it is possible to develop insights into public perceptions and media coverage on a large scale.
Our ability to monitor spoken media content in a variety of languages is useful for purposes such as verifying advertisement transmissions, analyzing editorial content, and understanding social trends.
OUR TEAM
SAIGEN BLOG
Saigen names Callbi as exclusive global partner for contact centres
Saigen names Callbi as exclusive global partner for contact centres Saigen has signed an exclusive global partnership with Callbi to offer speech analytics to contact [...]
Repost: The State of Automatic Speech Recognition: Q&A with Kaldi’s Dan Povey
The Kaldi toolkit is an integral part of Saigen’s speech recognition model training pipeline. Dan Povey, the main developer of Kaldi, answers questions on the state of speech recognition [...]
Speech technology in the era of Big Data
Public interest in speech technology recently increased dramatically, as Google Duplex was demonstrated, and elicited a wide range of reactions. Most observers were stunned at the [...]