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.
How a Top Automotive OEM Localizes Its In-Car Experience with Appen
The Situation With the proliferation of mobile devices, consumers expect to stay connected, no matter where they are — especially in their car. Voice recognition in cars, however, continues to be the leading complaint among new vehicle owners. Global automotive manufacturers recognize the demand for better connectivity but face added complexities associated with localizing in-car systems for multiple languages. Data …
Why Human-Annotated Data is Key to Machine Learning: Three Use Cases
Machine learning requires high volumes of data for training, validation, and testing. A machine learning model learns to find patterns in the input that is fed to it. This input is referred to as training data. As you train your solution to form relationships between variables, it’s important to have the right data, structured in the right format, covering all …
How GuildLink Uses Text-to-Speech Translation to Make Consumer Medicines Information More Accessible
GuildLink + Appen “Appen’s text-to-speech conversion has been pivotal in helping us provide more information in more ways and helping patients understand what they’re taking.” — Anna Paonne, Key Account and Business Development Manager, GuildLink The Situation It’s critical for patients to understand what medicine they’re taking and how to take it. Every prescription medication in Australia requires an accompanying Consumer …
Breaking New Ground in Online Customer Experiences: Flamingo AI and Appen
Low online sales conversion rates. Inefficient customer service. These are the problems Flamingo is solving with its game-changing machine learning technology focused on the field of conversational commerce. Using Appen and Amazon Web Services to power its virtual-assistant platforms, the machine learning company now creates better online experiences and enables conversational commerce for financial …
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Global Tech Firm Reaches New Markets with Enhanced Child Speech System
When designing a voice recognition system, it’s important that the speech system understands everyone speaking to it. But what happens when a speech recognition system doesn’t account for children’s speech? Most speech recognition platforms are only designed with adults in mind. Child speech is very different than adult speech, and not all speech recognition devices are well-equipped to deal with …
Appen’s Expertise Ensures eCommerce Retailer’s Scalability
A global eCommerce company needed support for one-time evaluation projects. Appen’s on-demand crowd and project management expertise were a perfect fit.
Improving Local Search Results for Enhanced User Experience
When a search engine provider needed to keep up with business listing demand, it turned to Appen to ensure accuracy.
Local Knowledge Provides Enhanced Accuracy for Mobile Maps
Accuracy is the key to success for navigation applications. Appen developed a highly efficient testing system to improve directions for mobile maps.
Delivering Personalization to a Global Market
Consumers want more relevant content. Appen helped a company improve the personalization of its news feed and deliver to their global user base.
Sourcing In-market Expertise for Software Localization
A software provider required a Common Locale Data Repository software update. Appen helped provide the in-market knowledge for 66 new markets.
Improving Natural Language Recognition for Leading Social Media Firm
A leading social media company needed large amounts of data to improve machine learning. Appen helped them secure the data needed to enhance the model. Read more.
Improving Search Quality for Microsoft Bing in Multiple Markets
Improving results of the Bing search engine requires improving algorithms. Appen provides data collection support to optimize performance.
Appen Propels Social Network Growth
A major social network provider needed to improve search functionality. Appen helped the provider improve data quality and support project demands quickly.
How Structured Data Leads to Higher Ad Revenue
A leading search engine provider needed to know whether their ads were performing. The provider turned to Appen to accurately measure and optimize results. Read case study.