DimSim

Sound indexer

A phonetic similarity algorithm for indexing Chinese characters by sound

GitHub

123 stars
5 watching
23 forks
Language: Python
last commit: over 5 years ago

Related projects:

RepositoryDescriptionStars
ibm/max-chinese-phonetic-similarity-estimatorEstimates phonetic similarity between Chinese words and suggests similar-sounding candidates35
yongxuustc/dcase2017_task4_cvsspA system for audio classification and detection using machine learning models4
cmusphinx/tlsphinxA Swift wrapper around Pocketsphinx, allowing speech recognition on device without audio leaving it15
ronggong/jingjusingingphrasematchingThis repository provides a software framework to match singing audio with corresponding music scores based on phonetic and duration information.27
thudm/glm-4-voiceAn end-to-end voice model for conversational dialogue in English2,467
lexmag/simetricFacilities to calculate the distance and similarity between strings using various algorithms61
cpjku/madmomA Python audio signal processing library used in music information retrieval tasks.1,366
microsoft/kernel-memoryAn AI service for efficient indexing and querying of datasets using LLMs and natural language processing techniques.1,660
xidongwu/d-auprcProvides an implementation of a specific algorithm used in audio signal processing0
thudm/chinese-transformer-xlA pre-trained Chinese language model based on the Transformer-XL architecture.218
scinim/impulseA collection of signal processing primitives15
hit-scir/chinese-mixtral-8x7bAn implementation of a large language model for Chinese text processing, focusing on MoE (Multi-Headed Attention) architecture and incorporating a vast vocabulary.645
fielddb/bashscriptsforphoneticsA collection of bash scripts for automating batch processing and file analysis tasks in phonetics research0
alvations/sugarlikeA tool that identifies languages in text by comparing them to a reference set of patterns.1
trifl/chirpA lightweight library providing a simple way to manage sound playback and cleanup in Swift apps.307