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Live Transcribe Speech Engine provides on-device speech recognition components that power real-time transcription for accessibility and everyday voice-first experiences. Its design prioritizes latency and robustness in noisy, far-field environments, enabling continuous transcription with low delay on mobile hardware. The engine manages audio front-end processing—such as noise suppression and voice activity detection—before feeding audio into compact, accurate acoustic and language models....
This project includes basic NLP and DSP techniques for Text-to-Speech
See TTS demo at: http://rslp.racai.ro/index.php?page=tts
This is an entirely written in JAVA project which includes a set of tools and methods designed to enable Multilingual Text-to-Speech (TTS) synthesis. We currently support English and Romanian but we will soon train more models and make them available for download.
If you want to read more about our other NLP and TTS tools check out http://nlptools.racai.ro.
A simple java library for text and object oriented code.
Among the different available packages, there are for text analysis (levenshtein and ngram fingerprinting), a grammar framework, simple object persistence (very light and dependence free), ...
This is a Java-based project for complex event extraction from text and co-reference resolution. Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text.
The method is based on SVM but other ML algorithms can be adopted. The method details are explained in the...
ELIA(Eyegaze Language Integration Analysis) supports the analysis of eye-tracking data for studies in language processing. ELIA eases early analysis of data to enable iterative development of experiments in response to spoken language.
Making Hebrew properly searchable by IR software. Right now, most work is being done in our mailing list (planning), and on our github repository (concept code, see below).
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