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Consumer Robot Controls
Consumer Robot Controls

Consumer robotics industry is experiencing prosperous development. Benefited from AI technology, consumer robots are becoming smarter and cooperating harmoniously with other devices. It is common to have robots alongside humans to assist with daily tasks, such as cleaning, entertainment, and companion. In order to run these systems successfully, you need a significant amount of datasets to train it.

Challenges
  • Changes caused by home decoration and associated materials, which impact the spatial structure and acoustic environment
  • Far field interaction makes speech recognition more difficult
  • Ages, accents and other demographic factors affect the recognition accuracy
Solutions

We provide a wide range of training data, such as commands datasets and interaction datasets. These datasets were collected from real-world scenarios, covering different languages, dialects, genders, and ages. Specifically, we record domestic noise datasets as well, since it also impacts recognition. We ensure the consistency and stability through our strict criterion for speakers, recording environments, devices, annotation specification, acceptance inspection, etc.

Services
  • Conversational speech collection of two speakers
  • Conversational speech collection of multiple speakers
  • Spontaneous, unscripted speech collection by singular speaker
  • Domestic noise collection within different environments
  • Multiple devices, collecting both far field and near field datasets
Outcomes

We have delivered single language and multiple language mixed datasets to our customers. These customized datasets assist our customers’ to enhance their AI or machine learning models which help them operate smoothly even in adverse environments.

Our Strength
  • Comprehensive data collection solutions
  • Capable to cover more than 50 languages and dialects for audio recording and annotation services
  • Efficient reaction, more than 300,000 global speakers can provide recording service
  • Quality-focused management system, ensuring high-quality datasets and services
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