Search Results for "spectrogram"
Sort By:
Showing 21 open source projects for "spectrogram"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
1
Praat
Doing Phonetics By Computer
Praat is a speech analysis application and source repository for doing phonetics by computer. It was created by Paul Boersma and David Weenink at the University of Amsterdam. The software lets researchers, linguists, clinicians, teachers, and students analyze, synthesize, manipulate, and annotate speech recordings. It supports acoustic inspection through waveforms, spectrograms, pitch tracks, formants, intensity, and related phonetic measurements. Praat also includes scripting tools for... -
2
SimpleSpectr
A simple macOS app that displays the spectrogram of an audio file
SimpleSpectr is a native macOS app built with SwiftUI that renders an interactive spectrogram of any audio file Core Audio can decode — WAV, MP3, AAC/M4A, FLAC, AIFF, ALAC, and more. You can open files from within the app, drag-and-drop them onto the window, launch them via Finder's Open With, or even capture live audio from the microphone for a real-time spectrogram. Low frequencies sit at the bottom and time advances left-to-right, matching conventional audio-analysis conventions. ... -
3
Riffusion App
Stable diffusion for real-time music generation (web app)
Riffusion App Hobby is an open-source interactive web application that enables real-time music generation using stable diffusion models adapted for audio synthesis. Unlike traditional music generation tools, it treats audio as spectrogram images and applies diffusion techniques to generate continuous sound transitions, allowing users to create evolving musical loops and compositions. The application is built with modern web technologies including Next.js, React, and three.js, providing a responsive and visually engaging interface for experimentation. It relies on a separate inference server to perform model computations, enabling flexible deployment depending on hardware capabilities. ... -
4
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. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
-
5
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. -
6
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. -
7
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... -
8
Riffusion
Real-time music generation using stable diffusion techniques AI
Riffusion (hobby) is a Python-based open source library designed for real-time music and audio generation using stable diffusion techniques. Riffusion (hobby) works by generating and manipulating spectrogram images, which are then converted into playable audio clips, effectively bridging image-based diffusion models with sound synthesis. It implements a diffusion pipeline that supports prompt interpolation, allowing smooth transitions between different musical styles or prompts over time. Riffusion (hobby) serves as the core implementation for audio and image processing, providing essential building blocks for generating music from text prompts. ... -
9
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. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
10
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. -
11
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. -
12
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... -
13
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). -
14
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. -
15
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. -
16
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). -
17
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.
-
18
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.
-
19
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.
-
20
A Flash 9 MP3 player that allows a user to play an MP3 file while viewing the spectrogram of the sound file.
-
21
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.
- Previous
- You're on page 1
- Next
