Search Results for "spectrogram"
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Showing 24 open source projects for "spectrogram"
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1
Bert-VITS2
VITS2 backbone with multilingual-bert
...The core idea is to use BERT-style contextual embeddings for text encoding while relying on a refined VITS2 architecture for acoustic generation and vocoding. The repository includes everything needed to train, fine-tune, and run the model, from configuration files to preprocessing scripts, spectrogram utilities, and training entrypoints for multi-GPU and multi-node setups. It provides emotional modeling through “emo embeddings,” allowing voices to be conditioned on different affective states during synthesis. Releases include optimizations for Japanese and English alignment, expanded training data, spec caching and pre-generation tools, as well as ONNX export for more lightweight inference deployments. -
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pysoundanalyser
a python program to generate, visualize, and manipulate short sounds
pysoundanalyser is a Python application that can be used to generate, visualize, and manipulate short sounds through a graphical user interface. Visualization functions include visualization of the power spectrum, the spectrogram, the autocorrelation, and the autocorrelogram of a sound. Manipulation functions include filtering, concatenating, cutting, and scaling the level of a sound. Several types of sounds can also be generated including, pure tones, harmonic complex tones, noise of different colours, frequency modulated and amplitude modulated tones. -
3
Demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation
Demucs (Deep Extractor for Music Sources) is a deep-learning framework for music source separation—extracting individual instrument or vocal tracks from a mixed audio file. The system is based on a U-Net-like convolutional architecture combined with recurrent and transformer elements to capture both short-term and long-term temporal structure. It processes raw waveforms directly rather than spectrograms, allowing for higher-quality reconstruction and fewer artifacts in separated tracks. The... -
4
DiffSinger
Singing Voice Synthesis via Shallow Diffusion Mechanism
...The method introduces a “shallow diffusion” mechanism: instead of diffusing over many steps, generation begins at a shallow step determined adaptively, which leverages prior knowledge learned by a simple mel-spectrogram decoder and speeds up inference. -
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WaveRNN
WaveRNN Vocoder + TTS
...A quick_start.py script allows users to immediately synthesize example sentences from a pretrained model and inspect both generated audio and attention plots. For custom TTS, the project guides you through training Tacotron, forcing GTA spectrogram export when desired, training WaveRNN with or without GTA, and then running joint generation. -
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TensorFlowTTS
Real-Time State-of-the-art Speech Synthesis for Tensorflow 2
...The library supports multiple languages (English, French, Korean, Chinese, German, etc.) and is relatively easy to adapt to new languages. With integrated vocoder + mel-spectrogram generation pipelines, pre-trained models, and fairly flexible architecture, TensorFlowTTS is a great off-the-shelf and extensible TTS engine for applications ranging from voice assistants to content generation or accessibility tools. -
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U-Net Fusion RFI
U-Net for RFI Detection based on @jakeret's implementation
See original code here: https://github.com/jakeret/tf_unet Currently this project is based on Tensorflow 1.13 code base and there are no plans to transfer to TF version 2. The primary improvements to this code base include a training and evaluation framework, along with a fusion based approach to detection, combining a number of models (currently hard coded to two trained models) along with Sum Threshold as an additional "expert." Additional work is being done to add custom layers to... -
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Transformer TTS
Implementation of a Transformer based neural network
TransformerTTS is an implementation of a non-autoregressive Transformer-based neural network for text-to-speech, built with TensorFlow 2. It takes inspiration from architectures like FastSpeech, FastSpeech 2, FastPitch, and Transformer TTS, and extends them with its own aligner and forward models. The system separates alignment learning and acoustic modeling: an autoregressive Transformer is used as an aligner to extract phoneme-to-frame durations, while a non-autoregressive... -
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SigPack
SigPack - A signal processing library using Armadillo
SigPack is a C++ signal processing library using the Armadillo library as a base. The API will be familiar for those who has used IT++ and Octave/Matlab. -
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10
fmplot
Plots rtl_power output as a spectrogram
Designed for finding HD FM stations in the US because they have about twice normal width, you can customize it for other frequency ranges. Uses Gnuplot to plot to a .png file. -
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Mod Direct Panoramic Spectrum Analyzer
Mod Direct Panoramic Spectrum Analyzer
...The possibility of cyclic writing/recording from realtime to a file and subsequent playback from it is added (double click of the left mouse button anywhere in the top spectrogram). The size of the MB file is specified in the settings file (Cyclic file size=100). -
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DC-TTS
TensorFlow Implementation of DC-TTS: yet another text-to-speech model
...It follows the “Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention” paper, but the author adapts and extends the design to make it practical for real experiments. The model is split into two networks: Text2Mel, which maps text to mel-spectrograms, and SSRN (spectrogram super-resolution network), which converts low-resolution mel-spectrograms into high-resolution magnitude spectrograms suitable for waveform synthesis. Training scripts, data loaders, and hyperparameter configurations are provided to reproduce results on several datasets, including LJ Speech for English, a Korean single-speaker dataset, and audiobook data from Nick Offerman and Kate Winslet. -
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SonasoundP is a follow-up to Niklas Werner's sonasound and aims at helping foreign language students with their speech drills. The program shows a real-time spectrogram. Our aim is to add means to record and compare speech from different speakers.
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GPS Interactive Time Series Analysis
A software for processing and analyzing time series in Earth Science
...Bivariate statistical analysis (including correlation coefficient and linear regression) and time series analysis (including auto and cross-spectral analysis, wavelet power spectrum, spectrogram and periodicities) form the main analysis features of the software. -
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Xtreme Media Player
Xtreme Media Player is a free cross-platform media player.
...A key feature of XtremeMP is the capability to view visualizations (on-screen graphics controlled by the music’s audio). These can have scientific/technical purposes such as depicting some properties of the audio (such as the Oscilloscope, Spectrum, Stereogram, and Spectrogram visualizations). -
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Luscinia is a program for archiving and analyzing field sound recordings (especially of animals). It incorporates an interface to a database, spectrogram measurement algorithms, sound comparison algorithms, and statistical analysis.
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Pumilio is a web-based sound analysis and archive system for almost any kind of sound file with tools to see the spectrogram of the sound, select regions for further analysis and insertion in a database, filtering, and many other manipulations.
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This Python script uses the numpy and audiolab modules to generate waveform and spectrogram png images from a wav file. It is based on a script by Freesound.org.
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This application shows a spectrogram (STFT) of sound. The Spectrogram is upgraded in real time. Application is dedicated only for Linux.
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The Analysis & Resynthesis Sound Spectrograph analyses a sound file into a spectrogram and is able to synthesise this spectrogram, or any other user-created image, back into a sound.
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A Flash 9 MP3 player that allows a user to play an MP3 file while viewing the spectrogram of the sound file.
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The Analysis & Reconstruction Sound Engine analyses a sound file into a spectrogram and is able to synthesise this spectrogram, or any other user-created image, back into a sound.
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SAA (SSPLab Audio Analyzer) It will be able to separate sources, recognize speech and analyze the auditory scene. It can also synthesize spatialised sounds from mono recording, edit, analyze via spectrogram, filter and re-sample signals.
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This project will try to develop an audio analyser which displays several informations as phase in 2 ways (1 dimensional and 2 dimensional), waves shapes, spectrogram in full range and by 1/3 octavia with the value of the current peak frequency, and meter
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