kaldini | scratch using the kind of data that you can get

 by   uiuc-sst Python Version: Current License: No License

kandi X-RAY | kaldini Summary

kandi X-RAY | kaldini Summary

kaldini is a Python library. kaldini has no bugs, it has no vulnerabilities and it has low support. However kaldini build file is not available. You can download it from GitHub.

Train and test an ASR from scratch using the kind of data that you can get from a small group of native informants in a new language in about five hours of contact time, i.e., only about 1000 read sentences.
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            kandi-support Support

              kaldini has a low active ecosystem.
              It has 4 star(s) with 1 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              kaldini has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of kaldini is current.

            kandi-Quality Quality

              kaldini has no bugs reported.

            kandi-Security Security

              kaldini has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              kaldini does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              kaldini releases are not available. You will need to build from source code and install.
              kaldini has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed kaldini and discovered the below as its top functions. This is intended to give you an instant insight into kaldini implemented functionality, and help decide if they suit your requirements.
            • Create the MfCC archive
            • Read a dictionary from a file
            • Write a dictionary to a file
            • Set kaldi root
            • Downsamples the utterance of the utterances
            • Convert ifile is newer
            • Returns True if file1 is newer than file2
            • Write the LfST to a dictionarydir
            • Write a list to a file
            • Reads a list of strings from a file
            • Path to the mkg graph
            • Returns the language directory
            • Train mono
            • Returns the datadir
            • Convert lexicon to fst
            • Run decoder
            • Get spk from utt
            • Extract the utter path from a file
            • Move the word to another language
            • Locate the language directory
            • Compute CMVN stats
            • Reads the lexicon file
            • Write dictionary to dictionary of dictionaries
            • Set the kaldi root directory
            • Set kaldi path
            • Convert lm to fst
            Get all kandi verified functions for this library.

            kaldini Key Features

            No Key Features are available at this moment for kaldini.

            kaldini Examples and Code Snippets

            No Code Snippets are available at this moment for kaldini.

            Community Discussions

            No Community Discussions are available at this moment for kaldini.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install kaldini

            You can download it from GitHub.
            You can use kaldini like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/uiuc-sst/kaldini.git

          • CLI

            gh repo clone uiuc-sst/kaldini

          • sshUrl

            git@github.com:uiuc-sst/kaldini.git

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