Showing 18 of total 18 results (show query)
mlverse
wav:Read and Write WAV Files
Efficiently read and write Waveform (WAV) audio files <https://en.wikipedia.org/wiki/WAV>. Support for unsigned 8 bit Pulse-code modulation (PCM), signed 12, 16, 24 and 32 bit PCM and other encodings.
Maintained by Daniel Falbel. Last updated 2 years ago.
71.8 match 1 stars 2.70 score 6 scriptsmarce10
warbleR:Streamline Bioacoustic Analysis
Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. 'warbleR' makes use of the basic sound analysis tools from the packages 'tuneR' and 'seewave', and offers new tools for explore and quantify acoustic signal structure. The package allows to organize and manipulate multiple sound files, create spectrograms of complete recordings or individual signals in different formats, run several measures of acoustic structure, and characterize different structural levels in acoustic signals.
Maintained by Marcelo Araya-Salas. Last updated 2 months ago.
animal-acoustic-signalsaudio-processingbioacousticsspectrogramstreamline-analysiscpp
5.5 match 54 stars 11.01 score 270 scripts 4 dependentscoolbutuseless
ctypesio:Read and Write Standard 'C' Types from Files, Connections and Raw Vectors
Interacting with binary files can be difficult because R's types are a subset of what is generally supported by 'C'. This package provides a suite of functions for reading and writing binary data (with files, connections, and raw vectors) using 'C' type descriptions. These functions convert data between 'C' types and R types while checking for values outside the type limits, 'NA' values, etc.
Maintained by Mike Cheng. Last updated 2 months ago.
8.8 match 5 stars 6.02 score 6 scripts 1 dependentsr-forge
signal:Signal Processing
A set of signal processing functions originally written for 'Matlab' and 'Octave'. Includes filter generation utilities, filtering functions, resampling routines, and visualization of filter models. It also includes interpolation functions.
Maintained by Uwe Ligges. Last updated 1 years ago.
4.0 match 8.78 score 828 scripts 151 dependentswavx
bioacoustics:Analyse Audio Recordings and Automatically Extract Animal Vocalizations
Contains all the necessary tools to process audio recordings of various formats (e.g., WAV, WAC, MP3, ZC), filter noisy files, display audio signals, detect and extract automatically acoustic features for further analysis such as classification.
Maintained by Jean Marchal. Last updated 1 years ago.
4.5 match 47 stars 7.71 score 72 scripts 5 dependentsjeromeecoac
seewave:Sound Analysis and Synthesis
Functions for analysing, manipulating, displaying, editing and synthesizing time waves (particularly sound). This package processes time analysis (oscillograms and envelopes), spectral content, resonance quality factor, entropy, cross correlation and autocorrelation, zero-crossing, dominant frequency, analytic signal, frequency coherence, 2D and 3D spectrograms and many other analyses. See Sueur et al. (2008) <doi:10.1080/09524622.2008.9753600> and Sueur (2018) <doi:10.1007/978-3-319-77647-7>.
Maintained by Jerome Sueur. Last updated 1 years ago.
3.9 match 18 stars 8.88 score 880 scripts 23 dependentslangenbergstefan
sound:A Sound Interface for R
Basic functions for dealing with wav files and sound samples.
Maintained by Stefan Langenberg. Last updated 1 years ago.
7.8 match 3.79 score 124 scriptsjhudsl
text2speech:Text to Speech Conversion
Converts text into speech using various text-to-speech (TTS) engines and provides an unified interface for accessing their functionality. With this package, users can easily generate audio files of spoken words, phrases, or sentences from plain text data. The package supports multiple TTS engines, including Google's 'Cloud Text-to-Speech API', 'Amazon Polly', Microsoft's 'Cognitive Services Text to Speech REST API', and a free TTS engine called 'Coqui TTS'.
Maintained by Howard Baek. Last updated 2 years ago.
edtech-softwarespeech-synthesistext-to-speechttsvoice
4.0 match 21 stars 6.28 score 9 scripts 2 dependentssantiagobarreda
phonTools:Tools for Phonetic and Acoustic Analyses
Contains tools for the organization, display, and analysis of the sorts of data frequently encountered in phonetics research and experimentation, including the easy creation of IPA vowel plots, and the creation and manipulation of WAVE audio files.
Maintained by Santiago Barreda. Last updated 1 years ago.
3.9 match 4 stars 6.21 score 157 scripts 7 dependentstaikisan21
PAMpal:Load and Process Passive Acoustic Data
Tools for loading and processing passive acoustic data. Read in data that has been processed in 'Pamguard' (<https://www.pamguard.org/>), apply a suite processing functions, and export data for reports or external modeling tools. Parameter calculations implement methods by Oswald et al (2007) <doi:10.1121/1.2743157>, Griffiths et al (2020) <doi:10.1121/10.0001229> and Baumann-Pickering et al (2010) <doi:10.1121/1.3479549>.
Maintained by Taiki Sakai. Last updated 13 days ago.
3.8 match 9 stars 5.87 score 79 scriptscran
binhf:Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009).
Maintained by Matt Nunes. Last updated 7 years ago.
4.5 match 3.85 score 3 dependentsp-rocha
SoundShape:Sound Waves Onto Morphometric Data
Implement a promising, and yet little explored protocol for bioacoustical analysis, the eigensound method by MacLeod, Krieger and Jones (2013) <doi:10.4404/hystrix-24.1-6299>. Eigensound is a multidisciplinary method focused on the direct comparison between stereotyped sounds from different species. 'SoundShape', in turn, provide the tools required for anyone to go from sound waves to Principal Components Analysis, using tools extracted from traditional bioacoustics (i.e. 'tuneR' and 'seewave' packages), geometric morphometrics (i.e. 'geomorph' package) and multivariate analysis (e.g. 'stats' package). For more information, please see Rocha and Romano (2021) and check 'SoundShape' repository on GitHub for news and updates <https://github.com/p-rocha/SoundShape>.
Maintained by Pedro Rocha. Last updated 6 months ago.
2.8 match 9 stars 4.73 score 12 scriptsips-lmu
emuR:Main Package of the EMU Speech Database Management System
Provide the EMU Speech Database Management System (EMU-SDMS) with database management, data extraction, data preparation and data visualization facilities. See <https://ips-lmu.github.io/The-EMU-SDMS-Manual/> for more details.
Maintained by Markus Jochim. Last updated 1 years ago.
1.7 match 24 stars 6.89 score 135 scripts 1 dependentsrhedley
locaR:A Set of Tools for Sound Localization
A set of functions and tools to conduct acoustic source localization, as well as organize and check localization data and results. The localization functions implement the modified steered response power algorithm described by Cobos et al. (2010) <doi:10.1109/LSP.2010.2091502>.
Maintained by Richard Hedley. Last updated 2 years ago.
2.4 match 1 stars 4.78 score 24 scriptswadpac
GGIRread:Wearable Accelerometer Data File Readers
Reads data collected from wearable acceleratometers as used in sleep and physical activity research. Currently supports file formats: binary data from 'GENEActiv' <https://activinsights.com/>, .bin-format from GENEA devices (not for sale), and .cwa-format from 'Axivity' <https://axivity.com>. Further, it has functions for reading text files with epoch level aggregates from 'Actical', 'Fitbit', 'Actiwatch', 'ActiGraph', and 'PhilipsHealthBand'. Primarily designed to complement R package GGIR <https://CRAN.R-project.org/package=GGIR>.
Maintained by Vincent T van Hees. Last updated 10 days ago.
1.6 match 5 stars 6.76 score 33 scripts 5 dependentsrsund
survo.audio:Sound support for Survo R
Provides sound-API for Survo R.
Maintained by Reijo Sund. Last updated 10 months ago.
2.0 match 3 stars 2.48 scorecran
karaoke:Remove Vocals from a Song
Attempts to remove vocals from a stereo '.wav' recording of a song.
Maintained by John R. Dixon. Last updated 1 years ago.
0.6 match 1.00 scoretkcaccia
musicNMR:Conversion of Nuclear Magnetic Resonance Spectra in Audio Files
A collection of functions for converting and visualization the free induction decay of mono dimensional nuclear magnetic resonance (NMR) spectra into an audio file. It facilitates the conversion of Bruker datasets in files WAV. The sound of NMR signals could provide an alternative to the current representation of the individual metabolic fingerprint and supply equally significant information. The package includes also NMR spectra of the urine samples provided by four healthy donors. Based on Cacciatore S, Saccenti E, Piccioli M. Hypothesis: the sound of the individual metabolic phenotype? Acoustic detection of NMR experiments. OMICS. 2015;19(3):147-56. <doi:10.1089/omi.2014.0131>.
Maintained by Stefano Cacciatore. Last updated 1 years ago.
0.5 match 1.00 score 4 scripts