Topic: librosa Goto Github
Some thing interesting about librosa
Some thing interesting about librosa
librosa,We'll look into audio categorization using deep learning principles like Artificial Neural Networks (ANN), 1D Convolutional Neural Networks (CNN1D), and CNN2D in this repository. We undertake some basic data preprocessing and feature extraction on audio sources before developing models. As a result, the accuracy, training time, and prediction time of each model are compared. This is explained by model deployment, which allows users to load the desired sound output for each model that is successfully deployed, as will be addressed in more depth later.
User: abishek-as
librosa,Classify bird species based on their songs using SIamese Networks and 1D dilated convolutions.
User: adityadutt
librosa,Artificial intelligence bot for live voice improvisation
User: adzialocha
librosa,Methods to compute various chroma audio features and audio similarity measures particularly for the task of cover song identification
User: albincorreya
librosa,MIMII Sound Anomaly Detection with AutoEncoders
User: aldente0630
librosa,Sound Classification using Neural Networks
User: amritk10
librosa,Human Emotion Understanding using multimodal dataset.
User: ankurbhatia24
librosa,Scene Classification using Audio in the nearby Environment.
User: anujdutt9
librosa,Music genre classification from audio spectrograms using deep learning
User: cetinsamet
librosa,Automatically sync, mix, and draw virtual choir videos from raw tracks of individual recordings. You may need some singing skills but you don't need video editing skills or additional software.
User: clolsonus
Home Page: https://virtualchoir.flightgear.org
librosa,A Machine Learning Approach of Emotional Model
User: danyalimran93
librosa,Classifying English Music (.mp3) files using Music Information Retrieval (MIR), Digital/Audio Signal Processing (DIP) and Machine Learning (ML) Strategies
User: danyalimran93
librosa,Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
User: demfier
librosa,Music Synthesis with Python talk, originally given at PyGotham 2017.
User: dodiku
librosa,Project in several phases to ultimately built an app that translate from human to cats and cats to human using deep learning algorithm
User: frogboss74
Home Page: https://frogboss74.github.io/RealCatTranslator/
librosa,In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone
User: gianlucapaolocci
librosa,Binary classification problem that aims to classify human voices from audio recordings. Implemented using PyTorch and Librosa.
User: hernanrazo
librosa,An open-source Python library for audio time-scale modification.
Organization: kaist-maclab
librosa,Music genre classification model using CRNN
User: kristijanbartol
librosa,A program that uses neural networks to detect emotions from pre-recorded and real-time speech
User: lorenanda
Home Page: https://lorenaciutacu.com/bootcamp12/
librosa,Music Genre Classification with all data pipeline steps
User: magus4450
librosa,Understanding emotions from audio files using neural networks and multiple datasets.
User: marcogdepinto
librosa,Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.
User: mariostrbac
librosa,Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).
User: meidangr
librosa,Heart Sound Segmentation And Classification | Kaggle Competition
User: moharamfatema
librosa,Python framework for Speech and Music Detection using Keras.
User: qlemaire22
librosa,Image Processing, Speech Processing, Encoder Decoder, Research Paper implementation
User: ravising-h
Home Page: https://ravising-h.github.io/Speech2Face/
librosa,In this project we use RAVDESS Dataset to classify Speech Emotion using Multi Layer Perceptron Classifier
User: rudrajikadra
librosa,A command-line music video generator based on rhythm
User: scherroman
librosa,Python script utilising Librosa to log the timings of audio peaks in an MP3 file
User: skempin
librosa,This is an app which helps a user to deal with depression at a basic level by providing them Cognitive - Behavioral Therapy i.e. CBT Therapy in order to overcome various psychological problems and guide them to go take assistance by visiting an actual Psychologist.
User: smit-sms
librosa,Easier audio-based machine learning with TensorFlow.
Organization: spotify
librosa,Diagnosing respiratory diseases using sounds of respiratory cycles.
User: sritanmotati
librosa,NSMusicS,Multi platform Multi mode Music Software ,Electron(Vue3+Vite+TypeScript)+.net core+AI
User: super-badmen-viper
librosa,Digital Signal Processing mini project: Autotune
User: swapnilkumbhar
librosa,Speaker diarization and speech to text
User: terry-yip
librosa,(monophonic) audio to midi converter using Python and librosa
User: tiagoft
librosa,In this Repository, We developed an audio track separator in tensorflow that successfully separates Vocals and Drums from an input audio song track.
User: victor369basu
librosa,Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
User: x4nth055
librosa,C/C++实现Python音频处理库librosa中melspectrogram的计算过程
User: xiaominfc
librosa,基于PaddlePaddle实现的音频分类,支持EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等各种模型,还有多种预处理方法
User: yeyupiaoling
librosa,Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.
User: ztrimus
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