### Install Denoise-Plugin for Web Source: https://github.com/difftim/denoise-plugin/blob/main/README.md Installs the Denoise-Plugin package for web frontends using various package managers. This enables noise suppression capabilities within web applications. ```bash npm install @cc-livekit/denoise-plugin@1.0.4 ``` ```bash yarn add @cc-livekit/denoise-plugin@1.0.4 ``` ```bash pnpm install @cc-livekit/denoise-plugin@1.0.4 ``` -------------------------------- ### Import PyTorch Exchange Module Source: https://github.com/difftim/denoise-plugin/blob/main/rnnoise/torch/weight-exchange/README.md Imports the necessary module for handling PyTorch weights. This requires the PyTorch library to be installed in the environment. ```Python import exchange.torch ``` -------------------------------- ### Import TensorFlow Exchange Module Source: https://github.com/difftim/denoise-plugin/blob/main/rnnoise/torch/weight-exchange/README.md Imports the module for handling TensorFlow.keras weights. This requires the TensorFlow library to be installed in the environment. ```Python import exchange.tf ``` -------------------------------- ### Download Clean Speech Datasets for RNNoise Training Source: https://github.com/difftim/denoise-plugin/blob/main/rnnoise/datasets.txt This snippet provides direct download links to various clean speech datasets. These datasets are crucial for training the RNNoise denoising plugin. Note that the data typically needs to be resampled before use. ```Shell wget https://www.openslr.org/resources/30/si_lk.tar.gz wget https://www.openslr.org/resources/32/af_za.tar.gz wget https://www.openslr.org/resources/32/st_za.tar.gz wget https://www.openslr.org/resources/32/tn_za.tar.gz wget https://www.openslr.org/resources/32/xh_za.tar.gz wget https://www.openslr.org/resources/37/bn_bd.zip wget https://www.openslr.org/resources/37/bn_in.zip wget https://www.openslr.org/resources/41/jv_id_female.zip wget https://www.openslr.org/resources/41/jv_id_male.zip wget https://www.openslr.org/resources/42/km_kh_male.zip wget https://www.openslr.org/resources/43/ne_np_female.zip wget https://www.openslr.org/resources/44/su_id_female.zip wget https://www.openslr.org/resources/44/su_id_male.zip wget https://www.openslr.org/resources/61/es_ar_female.zip wget https://www.openslr.org/resources/61/es_ar_male.zip wget https://www.openslr.org/resources/63/ml_in_female.zip wget https://www.openslr.org/resources/63/ml_in_male.zip wget https://www.openslr.org/resources/64/mr_in_female.zip wget https://www.openslr.org/resources/65/ta_in_female.zip wget https://www.openslr.org/resources/65/ta_in_male.zip wget https://www.openslr.org/resources/66/te_in_female.zip wget https://www.openslr.org/resources/66/te_in_male.zip wget https://www.openslr.org/resources/69/ca_es_female.zip wget https://www.openslr.org/resources/69/ca_es_male.zip wget https://www.openslr.org/resources/70/en_ng_female.zip wget https://www.openslr.org/resources/70/en_ng_male.zip wget https://www.openslr.org/resources/71/es_cl_female.zip wget https://www.openslr.org/resources/71/es_cl_male.zip wget https://www.openslr.org/resources/72/es_co_female.zip wget https://www.openslr.org/resources/72/es_co_male.zip wget https://www.openslr.org/resources/73/es_pe_female.zip wget https://www.openslr.org/resources/73/es_pe_male.zip wget https://www.openslr.org/resources/74/es_pr_female.zip wget https://www.openslr.org/resources/75/es_ve_female.zip wget https://www.openslr.org/resources/75/es_ve_male.zip wget https://www.openslr.org/resources/76/eu_es_female.zip wget https://www.openslr.org/resources/76/eu_es_male.zip wget https://www.openslr.org/resources/77/gl_es_female.zip wget https://www.openslr.org/resources/77/gl_es_male.zip wget https://www.openslr.org/resources/78/gu_in_female.zip wget https://www.openslr.org/resources/78/gu_in_male.zip wget https://www.openslr.org/resources/79/kn_in_female.zip wget https://www.openslr.org/resources/79/kn_in_male.zip wget https://www.openslr.org/resources/80/my_mm_female.zip wget https://www.openslr.org/resources/83/irish_english_male.zip wget https://www.openslr.org/resources/83/midlands_english_female.zip wget https://www.openslr.org/resources/83/midlands_english_male.zip wget https://www.openslr.org/resources/83/northern_english_female.zip wget https://www.openslr.org/resources/83/northern_english_male.zip wget https://www.openslr.org/resources/83/scottish_english_female.zip wget https://www.openslr.org/resources/83/scottish_english_male.zip wget https://www.openslr.org/resources/83/southern_english_female.zip wget https://www.openslr.org/resources/83/southern_english_male.zip wget https://www.openslr.org/resources/83/welsh_english_female.zip wget https://www.openslr.org/resources/83/welsh_english_male.zip wget https://www.openslr.org/resources/86/yo_ng_female.zip wget https://www.openslr.org/resources/86/yo_ng_male.zip wget https://www.openslr.org/resources/109/hi_fi_tts_v0.tar.gz ``` -------------------------------- ### Add Denoise-Plugin Dependency for Swift Source: https://github.com/difftim/denoise-plugin/blob/main/README.md Integrates the Denoise-Plugin into a Swift project using Swift Package Manager. This enables noise suppression features within iOS or macOS applications. ```swift dependencies: [ .package(url: "https://github.com/difftim/denoise-plugin.git", from: "1.0.0-swift") ] ``` -------------------------------- ### Add Denoise-Plugin Dependency for Android Source: https://github.com/difftim/denoise-plugin/blob/main/README.md Configures the Android project to use the Denoise-Plugin by adding the necessary Maven repository and implementation dependency. This allows for noise suppression in Android applications. ```kotlin maven { url = uri("https://raw.githubusercontent.com/difftim/AndroidRepo/main/") } implementation("org.difft.android.libraries:denoise-filter:1.0.1") ``` -------------------------------- ### RNNoise Training Dataset Citations Source: https://github.com/difftim/denoise-plugin/blob/main/rnnoise/datasets.txt This section provides BibTeX citations for the datasets used in RNNoise training. These citations are essential for academic referencing and understanding the origin of the data. ```BibTeX @inproceedings{demirsahin-etal-2020-open, title = {{Open-source Multi-speaker Corpora of the English Accents in the British Isles}}, author = {Demirsahin, Isin and Kjartansson, Oddur and Gutkin, Alexander and Rivera, Clara}, booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)}, month = may, year = {2020}, pages = {6532--6541}, address = {Marseille, France}, publisher = {European Language Resources Association (ELRA)}, url = {https://www.aclweb.org/anthology/2020.lrec-1.804}, ISBN = {979-10-95546-34-4}, } @inproceedings{kjartansson-etal-2020-open, title = {{Open-Source High Quality Speech Datasets for Basque, Catalan and Galician}}, author = {Kjartansson, Oddur and Gutkin, Alexander and Butryna, Alena and Demirsahin, Isin and Rivera, Clara}, booktitle = {Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)}, year = {2020}, pages = {21--27}, month = may, address = {Marseille, France}, publisher = {European Language Resources association (ELRA)}, url = {https://www.aclweb.org/anthology/2020.sltu-1.3}, ISBN = {979-10-95546-35-1}, } @inproceedings{guevara-rukoz-etal-2020-crowdsourcing, title = {{Crowdsourcing Latin American Spanish for Low-Resource Text-to-Speech}}, ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.