Solving the problem of accents for speech recognition languages

The challenge with speech-to-text technology for Spanish speakers lies in the vast number of accents and dialects used globally, requiring multiple language packs for each region or speaker profile. This leads to operational complexities and costs, as well as the need for repeated transcription through accent-specific models. A new machine learning approach by Speechmatics uses a single comprehensive Global Spanish language pack, built using Automatic Linguist framework, to provide reliable performance across most real-world applications, eliminating the need to identify specific dialects or accents. This solution enables accurate speech recognition in any-context, allowing contact centers to deliver localized and personalized services, meet customer expectations, and optimize their experience to drive loyalty and reduce churn.