Search Results for "speech corpus"
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Showing 17 open source projects for "speech corpus"
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VoxCPM
TTS for Context-Aware Speech Generation and True-to-Life Voice Cloning
VoxCPM is a tokenizer-free text-to-speech system that models speech in a continuous space, aiming for extremely realistic, context-aware synthesis and true-to-life zero-shot voice cloning. Instead of converting speech into discrete tokens, it uses an end-to-end diffusion-autoregressive architecture built on the MiniCPM-4 backbone, combining hierarchical language modeling, finite scalar quantization (FSQ), and local Diffusion Transformers. -
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Korean Analyzer Rhino
Parsing Korean words by morpheme and part-of-speech
RHINO parses Korean words by morpheme and part-of-speech. Its dictionaries are based on Korean Modern Tagged Corpus(12 million phrases scale) which was made by Korean government. So it analyses many cases of stems and endings. And the newly developed Dynamic Dictionary Technology can make words to react with their context. That is, a programmed database. For more information see the files in the help folder. -
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jieba
Stuttering Chinese word segmentation
"Jaba" Chinese word segmentation, do the best Python Chinese word segmentation component. Four word segmentation modes are supported. Precise mode, which tries to cut the sentence most precisely, suitable for text analysis. Full mode, scans all the words that can be formed into words in the sentence, the speed is very fast, but the ambiguity cannot be resolved. The search engine mode, on the basis of the precise mode, divides the long words again to improve the recall rate, which is suitable... -
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Dragonfire
The open-source virtual assistant for Ubuntu based Linux distributions
Dragonfire is the open-source virtual assistant project for Ubuntu-based Linux distributions. Her main objective is to serve as a command and control interface to the helmet user. So that you will be able to give orders just by using your voice commands and your eye movements. That makes the helmet handsfree. We are planning to ship Dragonfire as a preinstalled software package on DragonOS Linux Distribution. DragonOS will be a Linux distribution specially designed for the helmet. It will... -
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kcws
Deep Learning Chinese Word Segment
Deep learning chinese word segment. Install the bazel code construction tool and install tensorflow (currently this project requires tf 1.0.0alpha version or above) Switch to the code directory of this project and run ./configure. Compile background service. Pay attention to the public account of waiting for words and reply to kcws to get the corpus download address. Extract the corpus to a directory. Change to the code directory.After installing tensorflow, switch to the kcws code... -
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Arabic business corpora
Arabic business and management corpus
This corpora is made up of 3 sub corpora as follows: 1) Management Corpus: 400 articles by Chairmans and CEOs of Arabic companies in the Middle East. 2) Economics News: 400 news articles from different Arabic online newspapers. 3) Stock market news, 400 articles collected from investing.com. The main corpora contains 1200 articles. The articles have been tagged using Stanford Arabic Part of Speech Tagger. -
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ICE Nigeria
Nigerian component of the International Corpus of English
...The corpus can be downloaded in several parts. The written part can be downloaded as text files, xml files and xml files with parts of speech tagging, both with or without the raw files. For the spoken part the eaf files (ELAN files in xml format) together with the text files can be downloaded separately from the sound files. In addition, we provide the corpus manual as well as metadata (speaker age, gender, ethnic group and profession) and XML specifications. -
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CSLU_KALDI
speach recognision using kaldi
adjusting KALDI speech recognition to new corpus. -
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DisMo
A POS, disfluency and multi-word unit annotator for spoken language
...Visit www.corpusannotation.org to find out more about DisMo and other annotation tools for language corpora. If you are using DisMo to annotate your corpus, please cite the following paper: Christodoulides, George; Avanzi, Mathieu; Goldman, Jean-Philippe. DisMo: A Morphosyntactic, Disfluency and Multi-Word Unit Annotator. An Evaluation on a Corpus of French Spontaneous and Read Speech. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC) 2014, Reykjavik, Iceland, 26-31 May 2014, pp. 3902-3907. -
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LeaP corpus
A phonological corpus of learner English and learner German
The LeaP corpus is a phonologically annotated corpus that comprises spoken language produced by 46 learners of English and 55 learners of German as well as recordings with 4 native speakers of English and 7 native speakers of German. In total, it consists of 12 hours of speech and was collected at the University of Bielefeld (Germany) between 2001 and 2003 as part of the LeaP (Learning Prosody in a Foreign Language) project, which investigated the acquisition of prosody by second language learners of German and English with special focus on stress, intonation, and speech rhythm as well as influencing factors on the acquisition process and outcome. -
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Platform for Annotated Corpora in XML Integrated tool for corpus linguists built on Eclipse, Vex, Subversive, etc. for creating and editing transcriptions and annotations, querying, managing version controlled data, and building a shippable corpus.
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KALIMAT Multipurpose Arabic Corpus
A corpus that could be of help for researchers working on Arabic NLP
KALIMAT a Multipurpose Arabic Corpus We are pleased to announce the immediate availability of KALIMAT 1.0, KALIMAT is an Arabic natural language resource that consists of: 1) 20,291 Arabic articles collected from the Omani newspaper Alwatan by (Abbas et al. 2011). 2) 20,291 Extractive Single-document system summaries. 3) 2,057 Extractive Multi-document system summaries. 4) 20,291 Named Entity Recognised articles. 5) 20,291 Part of Speech Tagged articles. 6) 20,291 Morphologically Analyse articles. ... -
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Khmer Automatic Translation
Khmer-English-Khmer Automatic Translation
The project attempts to develop a parallel-corpus-based hybrid high quality English-Khmer-English automatic translation system based on statistical analysis and enhanced with part-of-speech analysis. -
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This project aims to build a suite of Natural Language Processing tools. Modules will include corpus indexing and access tools, a part-of-speech tagger, tokenisers, text classification software, etc.
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CRFTagger: Conditional Random Fields Part-of-Speech (POS) Tagger for English. The model was trained on sections 01..24 of WSJ corpus and using section 00 as the development test set (accuracy of 97.00%). Tagging speed: 500 sentences/s.
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Italian labeled digits corpus, good for speech recognition. Corpus di cifre italiane segmentato, adatto a esperimenti di riconoscimento vocale e riconoscimento fonetico.
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