How Infomedia and Podimo Transformed Their Workflow with Advanced Speech-to-Text Solutions in Small Languages
Client Infomedia
Speech to TextCustom AI AlgorithmBroadcast Media

The Challenge

Infomedia and Podimo encountered substantial obstacles in the realm of speech-to-text conversion for Nordic languages. Major technology companies offered insufficient support for these languages, resulting in the laborious and error-prone manual transcription of TV, radio, and podcast content. This deficiency in reliable automated solutions not only increased the time and effort required for transcription but also led to a higher incidence of errors and frustration among users. The pressing need for efficient and accurate speech-to-text technology in Nordic languages highlighted a critical gap in the market, underscoring the challenges faced by these companies in delivering high-quality transcriptions.

The Data

Our advanced speech-to-text API, supporting 98 languages, addresses the critical transcription challenges faced by Infomedia and Podimo. Prior to our solution, existing models for Scandinavian languages exhibited prohibitively high word error rates, often exceeding 20%, rendering transcriptions largely unintelligible. By harnessing our AI capabilities and incorporating extensive local training data, we successfully reduced the word error rate to approximately 8%. This significant improvement has resulted in accurate and comprehensible transcriptions in Danish, Norwegian, and Swedish, thereby offering a robust and reliable solution for the transcription needs of these languages.

The Insights

The pivotal insight was that integrating advanced AI modelling with localised training data could significantly enhance transcription accuracy. This strategic approach enabled the development of a speech-to-text model that not only met but exceeded client expectations. A thorough understanding of the specific nuances and linguistic characteristics of Nordic languages was essential in achieving such high levels of accuracy. This targeted methodology underscored the importance of tailoring AI solutions to the unique features of regional languages, demonstrating that localised data is indispensable for optimising performance in speech-to-text applications.

The Solution

Our speech-to-text solution delivered significant benefits to Infomedia and Podimo.

Infomedia: Enhanced Media Monitoring

Infomedia, Scandinavia’s premier media monitoring company, incorporated our speech-to-text technology into their workflow. This integration markedly reduced spelling errors and monitoring inaccuracies in television and radio broadcasts, resulting in more precise data collection and analysis. Consequently, Infomedia was able to offer more efficient customer care services and achieve higher levels of customer satisfaction.

Podimo: Improved Recommendations and User Experience

Podimo, a leading provider of exclusive podcasts, leveraged our solution to gain a more comprehensive understanding of their podcast content. This deeper insight enabled them to generate more accurate content recommendations for their users, based on the actual content rather than just titles and genres. As a result, Podimo’s users enjoyed more personalized and satisfying content recommendations, enhancing their overall experience.

Ongoing Commitment and Broader Applications

Our speech-to-text solution has proven that accurate and reliable transcription of Scandinavian languages is attainable. We are committed to continuously advancing our technology to deliver even better outcomes for our clients. Beyond Nordic languages, our support encompasses all major languages, providing a comprehensive and versatile solution for global transcription needs.