Build higher quality TTS systems using better speech data
How we help
Mobile phones, in-car systems and virtual assistants all depend on text-to-speech systems to function. But to meet customer needs, they require high quality speech data to ensure accurate responses. Our services include crowdsourced evaluation of synthetic voices to assess the quality of the system’s response, supervision of TTS recording with voice actors, and linguistic annotation to ensure that the flow and rhythm of the sentences is smooth and mimics humans.
Our skilled project managers work with your team to understand your objectives and timeline, and will customize a program to meet your needs. From evaluating TTS accuracy and fluency to providing linguistic annotation of TTS utterances, our services are designed to help you develop a high-quality TTS system. Our skilled global crowd provides us with the capability to help scale your system development into multiple languages and dialects to meet the needs of your customers worldwide.
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 experience includes working in over 180 languages and dialects, allowing our clients to scale to new markets quickly and effectively.
Our data services
- Field Testing
Ensure a successful launch of your application or system by using local testers in the field
- Language Technology QA
Develop top notch language-based solutions with language quality assurance services.
- Lexicons and Word Lists
Use custom lexicons and word lists to ensure the accuracy of your speech and text-based systems.
- Linguistic Annotation
Help train your machine learning model to better understand text so it can respond more accurately to human interaction.
- Linguistic Consulting
Ensure your solutions meet the needs of customers worldwide with the help of expert linguists.
- Translation and Localization
Traditional translation and machine translation services from language and data experts.
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