Search Results for "audio test"
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20 projects for "audio test" with 1 filter applied:
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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FFmpegCommand
Command library suitable for Android. It implements audio and video
FFmpegCommand is a graphical utility designed to simplify the generation and execution of FFmpeg commands for multimedia processing tasks. It provides an interface where users can configure parameters such as codecs, bitrates, and formats without manually writing command-line instructions. The tool dynamically builds FFmpeg commands based on user selections, making complex workflows more accessible. It supports common operations such as transcoding, trimming, and format conversion.... -
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NanoBoyAdvance
A cycle-accurate Nintendo Game Boy Advance emulator
...It is designed to emulate the GBA at a very low level, including CPU timing, DMA operations, graphics processing, and memory behavior, ensuring that even edge cases and obscure hardware quirks are faithfully reproduced. The emulator achieves extremely high compatibility, passing multiple hardware test suites and accurately running games that rely on precise timing conditions. In addition to accuracy, it introduces enhancements such as a high-quality audio mixer that improves sound output without altering internal emulation behavior. The project also includes modern usability features like save states, controller remapping, and support for loading ROMs from compressed archives. -
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gTTS
Python library and CLI tool to interface with Google Translate
...A small CLI utility, gtts-cli, makes it easy to test or batch-generate MP3 files right from the shell. -
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Multimodal
TorchMultimodal is a PyTorch library
...The repository also includes example scripts and datasets for common multimodal tasks (e.g. retrieval, visual question answering, grounding) so you can test and compare models end to end. Installation supports both CPU and CUDA, and the codebase is versioned, tested, and maintained. -
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SOFA Toolbox
Spatially Oriented Format for Acoustics
This project provided the SOFA Toolbox, a toolbox for the spatially oriented format for acoustics (SOFA). The SOFA Toolbox is the successor of the SOFA API for Matlab/Octave. More information about SOFA can be found here: http://sofaconventions.org On July 2025, we have left SourceForge: The SOFA Toolbox 2.2.0 is the last release published here. All further releases can be found at the SONICOM Ecosystem: https://ecosystem.sonicom.eu/tools/ The code development happens on GitHub:... -
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CSM (Conversational Speech Model)
A Conversational Speech Generation Model
The CSM (Conversational Speech Model) is a speech generation model developed by Sesame AI that creates RVQ audio codes from text and audio inputs. It uses a Llama backbone and a smaller audio decoder to produce audio codes for realistic speech synthesis. The model has been fine-tuned for interactive voice demos and is hosted on platforms like Hugging Face for testing. CSM offers a flexible setup and is compatible with CUDA-enabled GPUs for efficient execution. -
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ufonet
UFONet - Denial of Service Toolkit
UFONet - Is a set of hacktivist tools that allow launching coordinated DDoS and DoS attacks and combine both in a single offensive. It also works as an encrypted DarkNET to publish and receive content by creating a global client/server network based on a direct-connect P2P architecture. + FAQ: https://ufonet.03c8.net/FAQ.html -------------------------------------------- -> UFONet-v1.8 [DPh] "DarK-PhAnT0m!" (.zip) -> md5 = [ c8ab016f6370c8391e2e6f9a7cbe990a ] -> UFONet-v1.8... -
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pydatascope
Software oscilloscope using Python and tkinter
Software oscilloscope using Python and tkinter. Supports multiple sources: socket, file, audio, USB. Displays data by samples, time or frequency. Scales the input automatically or manually. -
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VibroToolbox is a tool for research and education in vibrometry. Test your audio equipment, describe responses to vibratory stimulation and analyze directionality. It works with precision i/o hardware or simple sound cards, various sensors and speakers.
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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ILIAS is a web base learning management system (LMS, VLE). Features: Courses, SCORM 1.2 and 2004, mail, forum, chat, groups, podcast, file sharing, authoring, CMS, test, wiki, personal desktop, LOM, LDAP, role based access, see http://www.ilias.de/
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pyscope
Software oscilloscope using Python and tkinter
Software oscilloscope using Python and tkinter. Supports multiple sources: socket, file, audio, USB. Displays data by samples, time or frequency. Scales the input automatically or manually. It has been renamed "pdatascope" to avoid a name-clash with Pyscope, a scoping package on PyPi. See https://sourceforge.net/p/pydatascope/ for the latest code. -
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MP3 Dynamic Range Analyzer
Tests dynamic range of mp3 files
Mp3 files DYNAMIC RANGE analyzer, test dynamic range of your mp3 files. -
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Zwicker s Loudness Calculation SW +Tool
Zwicker's Loudness Calculation (ISO532B) Tools
Zwicker's Loudness Calculation (ISO532B) Tools. The project includes a loudness calculation program based on Zwicker's Method, and a WAV file analyzer generating data files for loudness calculation. Documentation and test files are also provided. -
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DTMF detector library and/or application that reads in the specified audio file and returns/outputs whether DTMF detected and/or list of detected digits. May have GUI and command line interfaces.
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Scalable Language API (SLAPI) The most comprehensive architecture for conversational natural-language applications including speech recognition/synthesis, semantics, & machine translation. Used on Android & other mobile app platforms.
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Java software to learn to read music sheet (Piano based). Graphical interface . Several scope options plus 3 modes. //// Alemus Programa java para aprender a leer musica (para piano). Interfaz grafico. Varias opciones del ambito y 3 modos de uso.
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A MP3 Cataloging and Tagging utility program. This project was created more as an exercise in test-driving a Java GUI than in the interest of completing the program. Perhaps that's why the code was never completed.
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OpenAI Realtime Console
React app for inspecting, building and debugging with the Realtime API
...The Realtime API enables low-latency, interactive communication with language models, supporting use cases such as live conversations, real-time transcription, and interactive applications. This console serves as a reference implementation, showing how to establish WebRTC or WebSocket connections, send audio or text inputs, and receive model outputs in real time. It is built as a simple frontend that developers can run locally to test and understand how Realtime API interactions work. The project is intended as an educational and debugging resource rather than a production-ready application. By offering clear examples of streaming inputs and outputs, the console helps developers accelerate prototyping of real-time AI-powered applications. -
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wav2vec2-large-xlsr-53-portuguese
Portuguese ASR model fine-tuned on XLSR-53 for 16kHz audio input
wav2vec2-large-xlsr-53-portuguese is an automatic speech recognition (ASR) model fine-tuned on Portuguese using the Common Voice 6.1 dataset. It is based on Facebook’s wav2vec2-large-xlsr-53, a multilingual self-supervised learning model, and is optimized to transcribe Portuguese speech sampled at 16kHz. The model performs well without a language model, though adding one can improve word error rate (WER) and character error rate (CER). It achieves a WER of 11.3% (or 9.01% with LM) on Common... -
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wav2vec2-large-xlsr-53-russian
Russian ASR model fine-tuned on Common Voice and CSS10 datasets
wav2vec2-large-xlsr-53-russian is a fine-tuned automatic speech recognition (ASR) model based on Facebook’s wav2vec2-large-xlsr-53 and optimized for Russian. It was trained using Mozilla’s Common Voice 6.1 and CSS10 datasets to recognize Russian speech with high accuracy. The model operates best with audio sampled at 16kHz and can transcribe Russian speech directly without a language model. It achieves a Word Error Rate (WER) of 13.3% and Character Error Rate (CER) of 2.88% on the Common Voice test set, with even better results when used with a language model. The model supports both PyTorch and JAX and is compatible with the Hugging Face Transformers and HuggingSound libraries. ...
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