193 skills found · Page 1 of 7
tildeio / Route RecognizerA lightweight JavaScript library that matches paths against registered routes. It includes support for dynamic and star segments and nested handlers.
AutoLidarPerception / Segmenters LibThe LiDAR segmenters library, for segmentation-based detection.
2307vivek / SeekerA highly customizable seekbar/slider library for android with support for readahead indicator, segments and more. Made with Jetpack Compose ❤.
untr0py / SevSegSeven segment display controller library for Arduino
anvaka / IsectSegments intersection detection library
gionanide / Speech Signal Processing And ClassificationFront-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].
maxint-rd / TM16xxArduino TM16xx library for LED & KEY and LED Matrix modules based on TM1638, TM1637, TM1640 and similar chips. Simply use print() on 7-segment and use Adafruit GFX on matrix.
jasudev / AxisSegmentedViewA library that allows you to easily create various styles of segmented views. Supports iOS, macOS and tvOS.
fxsjy / FinalsegChinese Words Segment Library based on HMM model
bremme / Arduino Tm1637Arduino library for using a 4 digit seven segment display with TM1636 or TM1637 driver IC
dmadison / LED Segment ASCIILibrary of ASCII character representations using 7 segment, 14 segment, and 16 segment LED displays
zhenghuatan / RVADfastThis is the Python library for an unsupervised, fast method for robust voice activity detection (rVAD), as in the paper rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method.
codrops / AnimatedLettersA plugin that animates an artistic font using Segment, the SVG strokes animation library. By Luis Manuel.
zhenghuatan / RVADMatlab and Python libraries for an unsupervised method for robust voice activity detection (rVAD), as in the paper rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method.
byronknoll / Visibility Polygon JsThis library can be used to construct a visibility polygon for a set of line segments.
stueccles / Analytics ElixirSegment.com library for Elixir
neiker / Analytics React NativeThe hassle-free way to integrate analytics into any React Native application. https://segment.com/libraries/node
adafruit / Adafruit Python LED BackpackPython library for controlling LED backpack displays such as 8x8 matrices, bar graphs, and 7/14-segment displays on a Raspberry Pi or BeagleBone Black.
gavinlyonsrepo / TM1638plusAn Arduino library to drive TM1638, TM1637 & MAX7219 seven segment modules.
jasonacox / TM1637TinyDisplayArduino library to display numbers and text on a 4 and 6 digit 7-segment TM1637 display modules.
