Build higher quality ASR systems using better data
How we help
Whether you’re building a call center solution or a virtual assistant, your ASR system needs to be trained with high quality speech data to understand and interact with your customers more effectively.
Our skilled project managers work with your team to understand your objectives and timeline, and will customize a program to meet your needs. We can collect and transcribe large quantities of data in a short timeframe, allowing you to quickly train your system and improve the customer experience.
For over 20 years, Appen has worked with companies around the world to improve their speech and machine learning-based solutions by providing high quality, human-annotated data.
Our data services
- Translation and Localization
Traditional translation and machine translation services from language and data experts.
- Text Data Collection
Collect millions of high quality data samples to ensure your solution meets the needs of your customers worldwide.
- Speech Data Collection
Use our curated global crowd to collect high quality speech data in over 180 languages and dialects.
- Speech Data Transcription
Train your speech recognition system with high quality transcribed speech data.
How to Solve Common Data Challenges in Conversational Design
When planning the development of a chatbot or virtual assistant, it’s important to begin the conversational design process with a clear data strategy in place. Conversational design requires more than just an understanding of the fundamentals of voice user interface design — you also need to understand how to solve some of the key challenges in data preparation. Working with the …
How a Tier 1 Automotive Software Provider Creates Smarter, More Natural In-Car Infotainment Systems
For an in-car infotainment system — or any ASR system — to recognize and correctly process voice commands, it must be trained on speech data that accounts for a broad range of inputs and all possible variation in how people speak.
Improving the Accuracy of Automatic Speech Recognition Models for Broadcast News
There is still a gap to close between human and machine performance, demonstrating a continued need for research on automatic transcription for broadcast news. Appen is ready to make your speech recognition project a success.