Get accurate speech records so your system can better understand interactions from your customers
For your speech recognition system to be accurately trained to understand human interaction, it needs high-quality speech data. This data could already exist in your organization, for example in the form of customer service calls, or it could be a new source of voice data that is gathered in the field. Either way, transcription provides an accurate account of what was said so that your system can be trained to respond accordingly.
Appen’s crowd includes thousands of in-country native speakers who are ready to transcribe your speech or text data into its phonemic or phonetic equivalent, according to your custom guidelines. Our well-developed quality-assurance tooling and processes ensure high accuracy to provide the level of quality data needed to train your speech recognition system.
With deep expertise in more than 180 languages and access to a global crowd of over 1 million skilled contractors, Appen partners with global companies to help them develop, enhance and use products that rely on natural languages and machine learning.
An Introduction to Machine Learning Training Data [White Paper]
When it comes to your AI strategy, have you considered the amount and type of data you’ll need to effectively train your machine learning models? This white paper aims to help business executives embarking on—or looking to improve—their machine learning initiatives, and covers why machine learning requires a high volume of data, the importance of high-quality data, and what data sources to consider.
Appen Gears Up for Big Presence at Interspeech 2017
Appen to present research on speech recognition, speaker comparisons, and Pashto speech data at this year’s Interspeech conference.
Data Protection for Video Evidence
Body Worn Cameras and the video evidence they provide has been a game changer, and data protection is key to pushing it even further.