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Julius Engine Speech and Voice Recognition App

Julius Engine

by Julius

Open-Source Large Vocabulary CSR Engine Julius
Helps with: Speech and Voice Recognition
Similar to: eSpeak App CMU Flite App VeriSpeak App Dragon Speech SDK App More...
Source Type: Open
License Types:
Supported OS:
Languages: C CS Java

What is it all about?

"Julius" is a high-performance, two-pass large vocabulary continuous speech recognition (LVCSR) decoder software for speech-related researchers and developers. Based on word N-gram and context-dependent HMM, it can perform almost real-time decoding on most current PCs in 60k word dictation task.

Key Features

• An open-source software (see terms and conditions of license) • Real-time, hi-speed, accurate recognition based on 2-pass strategy. • Low memory requirement: less than 32MBytes required for work area (<64MBytes for 20k-word dictation with on-memory 3-gram LM). • Supports LM of N-gram, grammar, and isolated word. • Language and unit-dependent: Any LM in ARPA standard format and AM in HTK ascii hmmdefs format can be used. • Highly configurable: can set various search parameters. Also alternate decoding algorithm (1-best/word-pair approx., word trellis/word graph intermediates, etc.) can be chosen. • Full source code documentation and manual in Engligh / Japanese. • List of major supported features: ◦On-the-fly recognition for microphone and network input ◦GMM-based input rejection ◦Successive decoding, delimiting input by short pauses ◦N-best output ◦Word graph output ◦Forced alignment on word, phoneme, and state level ◦Confidence scoring ◦Server mode and control API ◦Many search parameters for tuning its performance ◦Character code conversion for result output. ◦(Rev. 4) Engine becomes Library and offers simple API ◦(Rev. 4) Long N-gram support ◦(Rev. 4) Run with forward / backward N-gram only ◦(Rev. 4) Confusion network output ◦(Rev. 4) Arbitrary multi-model decoding in a single thread. ◦(Rev. 4) Rapid isolated word recognition ◦(Rev. 4) User-defined LM function embedding


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