2 repository-uri
Awesome GitHub RepositoriesRecognition Parameter Configurations
Settings for adjusting acoustic models, language models, and decoder parameters to tune recognition accuracy and behavior.
Distinct from Speech Recognition Engines: Distinct from Speech Recognition Engines: focuses on the configurable parameters and model selection, not the inference runtime itself.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Recognition Parameter Configurations. Refine with filters or upvote what's useful.
Awesome Recognition Parameter Configurations GitHub Repositories
Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
- cmusphinx/pocketsphinx
cmusphinx/pocketsphinx
4,276Vezi pe GitHubPocketSphinx is an offline speech recognition engine that converts raw audio from files or live microphone streams into written text without requiring a network connection. It functions as a speech-to-text library, a real-time transcription engine, and a voice command processor, capable of detecting and transcribing spoken commands from continuous audio streams with configurable acoustic and language models. The engine uses weighted finite-state transducers to represent acoustic, phonetic, and language models as a single search graph for efficient decoding. It employs fixed-point acoustic mod
Adjusts acoustic model, language model, and decoder settings to tune recognition accuracy and behavior.
Ccpythonspeech-recognition - julius-speech/julius
julius-speech/julius
1,927Vezi pe GitHubJulius is a high-performance, open-source speech recognition engine designed for large vocabulary continuous speech recognition. It functions as a comprehensive framework utilizing Hidden Markov Model-based acoustic modeling and N-gram language models to convert live or recorded audio into text. The engine is built to support real-time streaming and provides a network-accessible service that allows external applications to manage recognition sessions and receive transcription results through programmatic commands. The engine distinguishes itself through its modular architecture and support fo
Provides settings for adjusting search algorithms, pruning strategies, and model structures to balance speed and accuracy.
Caudio-processingrecognitionspeech
