Browse all Nlp-speech
Blog
Natural Language Processing – Connecting The World through Language With AI
As young children, before we can even walk or talk, we’re listening. We’re hearing the sounds and vocalizations made by other people. We’re attaching those combinations of sounds to meanings, such as ‘mother’ and ‘door’, and learning to read the facial expressions of those around us to deepen our understanding of blocks of words. Then we go to school, start ...
Whitepapers
THE STATE OF AI AND MACHINE LEARNING FOR AUTOMOTIVE 2023
The State of AI and Machine Learning for Automotive leverages data from our 8th annual State of AI and Machine Learning Report to explore the trends and perception of the future of AI for the automotive industry. With advancements in technology, we’re seeing the impacts of human-in-the-loop annotation, the implementation of new vehicle features, and innovations in driver autonomy contributing ...
eBooks
AI Solutions for the Automotive Industry
Launching Customer-centric AI for Autonomous Vehicles and Smart Cars The auto industry is undergoing a profound transformation, with AI and electric changing the way companies build cars and influencing the type of consumer that will ultimately buy or use those cars. The future of transportation will be built with world-class AI, ultra-fast connectivity, and environmental impact in mind. The potential ...
Case Studies
Preserving Language Through Useable Data and Phonetic Annotation
The Project To preserve the Larrakia language, linguist Dr. Mark Harvey has teamed up with the Larrakia Nation Aboriginal Corporation of People and Appen with a goal to improve the database of usable text and audio data language samples the Larrakia language. This database is a major step in preserving and reviving the Larrakia language as the last fluent speaker ...
Case Studies
Realeyes Accelerates Video Attention and Emotion Analysis with Scalable Annotation Solution
“Our integration with Appen’s platform allowed us to scale up our annotation operations by collecting multiple types of high-quality annotations for thousands of hours of video footage, all in a short amount of time.” -Or Amir, Vice President of Operations – Realeyes The Company Founded in 2007, Realeyes is a leader in attention measurement. By using front-facing cameras and the latest ...
Case Studies
London School of Economics Takes Agile Approach to Data Labeling with Appen
“Appen’s platform is really easy to use. What makes it great is you can reach so many different channels because of its global outreach.” – Kenneth Benoit, Director of the Data Science Institute, LSE The University Founded in 1895, the London School of Economics and Political Science (LSE) has long been a global leader in social sciences among universities. One of ...
Case Studies
CallMiner Delivers Fast and Accurate Customer Insights with Large-Scale Annotation Solution
Appen is so fast. Using their platform, we could do overnight what used to take us a month. Appen is wonderfully efficient. – Rick Britt, Vice President of AI, CallMiner The Company Founded in 2002, CallMiner is the pioneer of the artificial intelligence (AI)-powered speech analytics space. In the years since, the company has continued to advance its AI software ...
Data Sheets
Natural Language Processing & Speech Technology at Appen
At Appen, our natural language processing & speech technology expertise spans over 25 years, over which time we have acquired advanced resources and expertise on the best formula for successful NLP projects. From text, speech, and audio collection to annotation, transcription, classification, and evaluation, we give you the high-quality training data you need to deploy world-class models at scale. Whatever ...
Case Studies
MediaInterface Expands to France With Pre-Labeled Datasets
We were expanding to a new market. Although we had a fully localized software, we were lacking resources, so our clients could not optimally use it. Appen helped us out with French lexicon data. – Ines Wendler, Product Manager, MediaInterface The Company For over 20 years, MediaInterface has delivered language technology solutions to primarily healthcare-related institutions in Germany and other ...
Case Studies
GumGum Finds A Better Way to Annotate and Classify Text and Images
The Company GumGum is an artificial intelligence (AI) company with a focus on computer vision (CV) and natural language processing (NLP). For the past 10 years, it has applied its patented capabilities to solving hard problems in a variety of industries, from professional sports to healthcare, but the company built its name with solutions for the digital advertising industry. It ...
Case Studies
Top Software Provider Develops Global CLDR through Trusted Partnership
The Company A major international software provider looking to update its Unicode Common Locale Data Repository (CLDR) approached us to provide in-market resources for 66 markets. The Challenge A major international software provider needed to update its Unicode Common Locale Data Repository (CLDR) according to its yearly refresh cycle and was looking for in-market representation for 66 markets where ...
Case Studies
Global Tech Firm Expands into New Markets with Enhanced Speech System
The Company A leading multinational technology company teamed up with us to help develop an automatic speech recognition (ASR) system designed from the ground up to specifically cater to children’s applications. The Challenge You might not be surprised to learn that most speech recognition systems are designed with adult speakers in mind. To date, the nuances and idiosyncrasies of ...
Case Studies
Leading Software Provider Optimized its Global eCommerce Transaction Funnel
The Company The software provider engaged with us to design and deploy a usability study gathering user feedback from its target global markets, in multiple languages. A top-10 multinational software provider with a global SaaS eCommerce platform looked to us for help optimizing its eCommerce funnel. The Challenge A leading multinational software provider needed to optimize its eCommerce funnel for ...
Case Studies
Top Automotive OEM Uses Speech Training Data to Power its Connected Car
The Company A leading global OEM has worked with us for over 10 years to develop the data needed to train its voice recognition systems for more than 20 languages. The Challenge With the proliferation of mobile devices and increasing consumer expectations to stay connected regardless of their environment, automotive makers are under growing pressure to deliver on the promise ...
Case Studies
Wellio Turns Raw Data Sets Into AI Training Data for Nutrition and Cooking
The Company Learn how Wellio leverages the Appen platform to power the first intelligent platform that helps people plan, shop, prepare and enjoy healthy meals at home. Wellio is the first intelligent platform that helps people plan, shop, prepare and enjoy healthy meals at home to support people eating better. Wellio has chosen to help people cook their own meals ...
Case Studies
Tier 1 Automotive Software Provider Creates Smarter In-Car Infotainment Systems
The Company A leading provider of vehicle electronics software approached us to collect audio and linguistic data to help develop automatic speech recognition (ASR) capabilities for its in-car infotainment system. The Challenge For an in-car infotainment system — or any automatic speech recognition system — to recognize and correctly process voice commands, it must be trained on speech data that accounts for ...
Case Studies
GuildLink Makes Consumer Medicines Information More Accessible
The Company It’s so important that patients understand what medicine they’re taking and how to take it. GuildLink ensures consumers have the latest information—and now, thanks to our text-to-speech conversion services, they also have it in audio format. The Challenge Every prescription medication in Australia requires accompanying “consumer medicines information,” commonly referred to as a CMI. It describes what the ...
Case Studies
Dialpad Creates Data That Powers ML Models for Human Conversation at Scale
The Company Dialpad improves conversations with data. They collect telephonic audio, transcribe those dialogs with in-house speech recognition models, and use natural language processing algorithms to comprehend every conversation. They use this universe of one-on-one conversation to identify what each rep–and the company at large–is doing well and what they aren’t, all with the goal of making every call a ...
Webinars
Combining Human Intelligence with Machine Learning for NLP and Speech
Date: On-Demand Time: 1 hour Executing successful Natural Language Processing (NLP) and Speech projects in the real world is complicated. It is often difficult to find the right volume of raw data to annotate, especially if some categories/words/topics are very rare in the data. It is also difficult to find and manage the right people to annotate, transcribe or create the ...
