Speech-Accent-Mining | Learning from the Speech Accent Archive
kandi X-RAY | Speech-Accent-Mining Summary
kandi X-RAY | Speech-Accent-Mining Summary
Speech-Accent-Mining is a Python library typically used in Institutions, Learning, Education applications. Speech-Accent-Mining has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Cet article présente les impacts et les différentes méthodes d’apprentissage machine pour la reconnaissance automatique de la langue maternelle d’un locuteur accentué. Bien que la reconnaissance et la compréhension de la voix humaine soient d’anciens domaines d’études, ils ont été développés de manière considérable au cours des dernières années, particulièrement en intelligence artificielle. Toutefois, malgré les nombreux avancements, certains problèmes sont complexes et persistent, notamment l’adaptation du système de reconnaissance vocale à l’accent du locuteur. Cet article vise à proposer une nouvelle approche permettant de contribuer à la résolution de ce problème par l’usage de science de la donnée. Dans l’article suivant, l’accent sera mis sur l’extraction des variables les plus significatives pour la reconnaissance de la langue maternelle d’un individu. Nous présenterons plusieurs méthodes permettant d’y arriver tout en présentant les résultats des différents algorithmes utilisés.
Cet article présente les impacts et les différentes méthodes d’apprentissage machine pour la reconnaissance automatique de la langue maternelle d’un locuteur accentué. Bien que la reconnaissance et la compréhension de la voix humaine soient d’anciens domaines d’études, ils ont été développés de manière considérable au cours des dernières années, particulièrement en intelligence artificielle. Toutefois, malgré les nombreux avancements, certains problèmes sont complexes et persistent, notamment l’adaptation du système de reconnaissance vocale à l’accent du locuteur. Cet article vise à proposer une nouvelle approche permettant de contribuer à la résolution de ce problème par l’usage de science de la donnée. Dans l’article suivant, l’accent sera mis sur l’extraction des variables les plus significatives pour la reconnaissance de la langue maternelle d’un individu. Nous présenterons plusieurs méthodes permettant d’y arriver tout en présentant les résultats des différents algorithmes utilisés.
Support
Quality
Security
License
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Support
Speech-Accent-Mining has a low active ecosystem.
It has 5 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Speech-Accent-Mining has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Speech-Accent-Mining is current.
Quality
Speech-Accent-Mining has no bugs reported.
Security
Speech-Accent-Mining has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Speech-Accent-Mining is licensed under the BSD-2-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
Speech-Accent-Mining releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed Speech-Accent-Mining and discovered the below as its top functions. This is intended to give you an instant insight into Speech-Accent-Mining implemented functionality, and help decide if they suit your requirements.
- Creates a new dataset for each speaker
- Print a progress bar
- Write data to a csv file
- Read a csv file
- Builds the LSTM model
- Print a csv report
- Get classification
- Loads a dataset
- Load all speakers into a csv file
- Make a standard deviation out of a file
- Downsampling of a file
- Runs the cross validation
- Cross validation function
- Build a heatmap from a report
- Plot confusion matrix
- Build a histogram of the feature importances
- Cross validation
- Generate a Multinomial Bayes Method
- Random forest classifier
- Create a support vector machine model
- Returns a DecisionTree classifier
- Creates a neural network
Get all kandi verified functions for this library.
Speech-Accent-Mining Key Features
No Key Features are available at this moment for Speech-Accent-Mining.
Speech-Accent-Mining Examples and Code Snippets
No Code Snippets are available at this moment for Speech-Accent-Mining.
Community Discussions
No Community Discussions are available at this moment for Speech-Accent-Mining.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Speech-Accent-Mining
You can download it from GitHub.
You can use Speech-Accent-Mining 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.
You can use Speech-Accent-Mining 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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