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Gemini 3 and 200+ AI Models on One Platform
Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.
Build generative AI apps with Vertex AI. Switch between models without switching platforms.
Subtitle translator from one natural language to other.
Translating subtitles in format SubRip from one natural language to other. It is based on Google Translate without API and therefore without payment. Translator have automatic and manual spell checkers.
MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
Wrapper for vendors to simplify usage of the Java Speech API (JSR 113). Note that the spec is an untested early access and that there may be changes in the API.
A speech synthesis and recognition library that is cross-platform, accessible from Java and C++, and has a very small API. Uses CMU Sphinx4 and FreeTTS internally.
Generate interest, access liquidity without selling, and execute trades seamlessly. All in one platform.
Geographic restrictions, eligibility, and terms apply.
Scalable Language API (SLAPI) The most comprehensive architecture for conversational natural-language applications including speech recognition/synthesis, semantics, & machine translation. Used on Android & other mobile app platforms.
Auvai is a JavaAPI and Java Swing based application for Text to Speech conversion of Unicode Tamil. Future direction of this API and application is to support Text to Speech conversion for all "Indic" languages.
This site is devoted to the collaborative creation of tools, protocols and procedures for field linguistics and language analysis. We are especially interested in tools for annotating or manipulating text, audio and video-based language archives.
Get your database online quickly using configuration not code. Use this secure, scalable and proven enterprise technology to publish any relational data, any custom process on the internet. MySQL, Java, XML, XSL. xHTML GUI, beta voiceXML and WML/WAP.
The MRCPv2 protocol is designed to allow client devices to control media processing resources, such as speech recognition engines. MRCP4J provides a JavaAPI that encapsulates the MRCPv2 protocol and can be used to implement MRCP clients and/or servers.