AI tools for audio restoration ai
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Fish Audio
Fish Audio is an AI-powered audio generation tool that allows users to convert text into speech. With a user-friendly interface, it offers a range of models for generating high-quality voices. Users can build their own voice models or use prebuilt ones, and collaborate with others. Backed by trusted partners, Fish Audio leverages Lepton AI's top models to provide a seamless experience for creating audio content.
Guide.AI
Guide.AI is a landmark audio guide platform that allows users to create and publish audio guides quickly, easily, and for free. The platform leverages advanced AI text-to-speech and translation technology to enable users to develop and distribute audio guides in 13 different languages. With Guide.AI, users can create guides without the need for audio recordings, special recording equipment, or expensive production teams. The platform aims to enrich audience experiences, provide consistent high-quality audio guides, and make locations more accessible for partially sighted visitors.
Mastermallow
Mastermallow is an AI audio mastering tool that allows users to transform their songs, podcasts, and other audio tracks into industry-quality audio in just minutes. Crafted by expert engineers and replicated by AI, the tool offers a streamlined mastering process that enhances every aspect of the audio, providing users with high-quality results at a fraction of the cost and time compared to professional audio engineers. With Mastermallow, users can upload their audio tracks, have them analyzed by AI, and receive a free sample comparing the original audio to the mastered version before deciding to download the final track.
LALAL.AI
LALAL.AI is a next-generation vocal remover and music source separation service that offers fast, easy, and precise stem extraction. It allows users to remove vocals, instrumental tracks, drums, bass, piano, electric guitar, acoustic guitar, and synthesizer tracks without compromising quality. The platform utilizes AI-powered technology to provide high-quality stem splitting based on transformer-based audio separation approach. Users can upload audio and video files to split into stems, choose from various packages for different processing limits, and enjoy features like voice cleaning, echo & reverb removal, and lead/back vocals separation.
ScreenApp
ScreenApp is an AI-powered application that serves as a versatile notetaker, transcription tool, summarizer, and recorder for both audio and video content. It offers a wide range of features to enhance productivity and efficiency in various tasks such as meeting documentation, idea jotting, educational purposes, and more. With advanced AI capabilities, ScreenApp transforms recordings into actionable insights, making it a valuable tool for individuals and businesses alike.
Ermine.ai
Ermine.ai is an AI-powered tool for local audio recording and transcription. It allows users to transcribe audio files with high accuracy using a transcription model that is loaded and initialized in the user's browser. The tool currently supports Chrome browser and English transcription only. Users can easily transcribe audio files by allowing microphone access and waiting for the model to load. Ermine.ai provides a convenient solution for transcription needs, offering a seamless and efficient transcription process.
Audiobox
Audiobox is an AI tool developed by Meta for audio generation. It allows users to create custom audio content by generating voices and sound effects using voice inputs and natural language text prompts. The tool is designed to be user-friendly and versatile, catering to a wide range of use cases. Audiobox offers a series of interactive audio demos to showcase its unique capabilities and provides a platform for users to express their creativity through audio storytelling.
AudioDiary
AudioDiary is a super smart voice journal application that captures, organizes, and analyzes life's moments through audio recordings. It transcribes audio entries, provides AI analysis, and suggests goals based on user input. Users can reflect on their day, track feelings, set goals, and receive thought-provoking questions. The app offers a seamless journaling experience for individuals who prefer speaking over writing, with features like accurate transcription, daily goal setting, and personalized summaries.
SpeechText.AI
SpeechText.AI is a powerful artificial intelligence software for speech to text conversion and audio transcription. It offers accurate transcriptions of audio files using domain-specific speech recognition technology. The platform supports various file formats, transcribes in multiple languages, and provides domain-optimized models for increased recognition accuracy. Users can edit and export transcriptions, benefit from automatic punctuation, and enjoy a word error rate of 3.8% on the LibriSpeech dataset. With features like speaker identification, multi-language support, and domain-specific models, SpeechText.AI is a reliable tool for transcription needs.
Audo Studio
Audo Studio is an AI-powered audio cleaning tool that automatically removes background noise, enhances speech, and adjusts volume levels with a single click. It offers fast and easy audio cleaning, advanced noise removal, echo reduction, and auto volume adjustment. With over 25,000 users and 300,000+ audio hours cleaned, Audo Studio is a popular choice for podcasters, YouTubers, and content creators looking to improve sound quality effortlessly.
GoWhisper
GoWhisper is a privacy-first, cross-platform desktop application for local audio transcription. It allows users to transcribe audio files on their local machine without the need for monthly subscriptions. With support for multiple languages and file formats, GoWhisper offers a seamless audio-to-text conversion experience. The application is designed to cater to researchers, podcasters, content creators, journalists, small business owners, and legal professionals, providing a reliable and secure transcription solution.
Splitter.ai
Splitter.ai is an AI-driven audio processing platform developed by a Swedish research company. It offers advanced audio processing technologies, including stem separation/extraction, reverb removal, and direct YouTube splitting. The platform is designed to assist music producers, DJs, artists, forensics engineers, audio engineers, karaoke enthusiasts, police, scientists, and more in enhancing their audio processing tasks. Splitter.ai aims to provide high-quality services through AI-driven solutions to meet the diverse needs of its users.
Transkriptor
Transkriptor is an AI-powered tool that allows users to convert audio or video files into text with high accuracy and efficiency. It supports over 100 languages and offers features like automatic transcription, translation, rich export options, and collaboration tools. With state-of-the-art AI technology, Transkriptor simplifies the transcription process for various purposes such as meetings, interviews, lectures, and more. The platform ensures fast, accurate, and affordable transcription services, making it a valuable tool for professionals and students across different industries.
Samplab
Samplab is an AI-powered audio editing tool that allows users to manipulate audio samples with advanced features such as note editing, chord detection, stem separation, audio to MIDI conversion, and audio warping. It offers a seamless integration with digital audio workstations (DAWs) as a plugin or desktop app, enabling producers to enhance their music production workflow. Samplab's AI technology revolutionizes the way users interact with audio samples, providing unprecedented control over notes, chords, and melodies.
MIXING & MASTERING GPT
Your personal audio mixing and mastering engineer assistant for music production
Mike Russell
Virtual Mike Russell from Music Radio Creative. Ask me your audio, podcasting and AI questions!
Sound Sage
Top-level audio expert in audio engineering for music, and film, with advanced knowledge of recording history, acoustics, gear, and plugins, with a sarcastic touch.
All Purpose Audio Format Converter
Expert in audio format conversion, guiding through simple steps.
Able-Nature's Echo.
Guides users through beautiful landscapes with spatial audio for immersion.
ReaperGPT
Expert for the Reaper DAW with extensive knowledge on Reapack Packages, ReaScript, EEL, Lua, Python, general commands, and audio workflows.
DIY Audio Guru
An assistant to help audio DIY'ers of any level, and anyone curios about audio to identify issues, find information, and general assistance in their journey.
Transcript GPT
Give me an audio transcript and I'll give you summarization, insights and actionable plan.
Video Insights: Summaries/Transcription/Vision
Chat with any video or audio. High-quality search, summarization, insights, multi-language transcriptions, and more. We currently support Youtube and files uploaded on our website.
ConvertAnything
The ultimate tool for converting files, whether they are images, audio, video, documents, or other types. It can process single files or multiple files in bulk, accepts ZIP files, and offers a download link [Updated version].
ai-audio-datasets
AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.
awesome-generative-ai
A curated list of Generative AI projects, tools, artworks, and models
AiTreasureBox
AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.
AITreasureBox
AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.
SenseVoice
SenseVoice is a speech foundation model focusing on high-accuracy multilingual speech recognition, speech emotion recognition, and audio event detection. Trained with over 400,000 hours of data, it supports more than 50 languages and excels in emotion recognition and sound event detection. The model offers efficient inference with low latency and convenient finetuning scripts. It can be deployed for service with support for multiple client-side languages. SenseVoice-Small model is open-sourced and provides capabilities for Mandarin, Cantonese, English, Japanese, and Korean. The tool also includes features for natural speech generation and fundamental speech recognition tasks.
awesome-khmer-language
Awesome Khmer Language is a comprehensive collection of resources for the Khmer language, including tools, datasets, research papers, projects/models, blogs/slides, and miscellaneous items. It covers a wide range of topics related to Khmer language processing, such as character normalization, word segmentation, part-of-speech tagging, optical character recognition, text-to-speech, and more. The repository aims to support the development of natural language processing applications for the Khmer language by providing a diverse set of resources and tools for researchers and developers.
Awesome-Segment-Anything
Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.
CVPR2024-Papers-with-Code-Demo
This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.
RVC_CLI
**RVC_CLI: Retrieval-based Voice Conversion Command Line Interface** This command-line interface (CLI) provides a comprehensive set of tools for voice conversion, enabling you to modify the pitch, timbre, and other characteristics of audio recordings. It leverages advanced machine learning models to achieve realistic and high-quality voice conversions. **Key Features:** * **Inference:** Convert the pitch and timbre of audio in real-time or process audio files in batch mode. * **TTS Inference:** Synthesize speech from text using a variety of voices and apply voice conversion techniques. * **Training:** Train custom voice conversion models to meet specific requirements. * **Model Management:** Extract, blend, and analyze models to fine-tune and optimize performance. * **Audio Analysis:** Inspect audio files to gain insights into their characteristics. * **API:** Integrate the CLI's functionality into your own applications or workflows. **Applications:** The RVC_CLI finds applications in various domains, including: * **Music Production:** Create unique vocal effects, harmonies, and backing vocals. * **Voiceovers:** Generate voiceovers with different accents, emotions, and styles. * **Audio Editing:** Enhance or modify audio recordings for podcasts, audiobooks, and other content. * **Research and Development:** Explore and advance the field of voice conversion technology. **For Jobs:** * Audio Engineer * Music Producer * Voiceover Artist * Audio Editor * Machine Learning Engineer **AI Keywords:** * Voice Conversion * Pitch Shifting * Timbre Modification * Machine Learning * Audio Processing **For Tasks:** * Convert Pitch * Change Timbre * Synthesize Speech * Train Model * Analyze Audio
RVC_CLI
RVC_CLI is a command line interface tool for retrieval-based voice conversion. It provides functionalities for installation, getting started, inference, training, UVR, additional features, and API integration. Users can perform tasks like single inference, batch inference, TTS inference, preprocess dataset, extract features, start training, generate index file, model extract, model information, model blender, launch TensorBoard, download models, audio analyzer, and prerequisites download. The tool is built on various projects like ContentVec, HIFIGAN, audio-slicer, python-audio-separator, RMVPE, FCPE, VITS, So-Vits-SVC, Harmonify, and others.
audio-webui
Audio Webui is a tool designed to provide a user-friendly interface for audio processing tasks. It supports automatic installers, Docker deployment, local manual installation, Google Colab integration, and common command line flags. Users can easily download, install, update, and run the tool for various audio-related tasks. The tool requires Python 3.10, Git, and ffmpeg for certain features. It also offers extensions for additional functionalities.
ai-audio-startups
The 'ai-audio-startups' repository is a community list of startups working with AI for audio and music tech. It includes a comprehensive collection of tools and platforms that leverage artificial intelligence to enhance various aspects of music creation, production, source separation, analysis, recommendation, health & wellbeing, radio/podcast, hearing, sound detection, speech transcription, synthesis, enhancement, and manipulation. The repository serves as a valuable resource for individuals interested in exploring innovative AI applications in the audio and music industry.
friendly-stable-audio-tools
This repository is a refactored and updated version of `stable-audio-tools`, an open-source code for audio/music generative models originally by Stability AI. It contains refactored codes for improved readability and usability, useful scripts for evaluating and playing with trained models, and instructions on how to train models such as `Stable Audio 2.0`. The repository does not contain any pretrained checkpoints. Requirements include PyTorch 2.0 or later for Flash Attention support and Python 3.8.10 or later for development. The repository provides guidance on installing, building a training environment using Docker or Singularity, logging with Weights & Biases, training configurations, and stages for VAE-GAN and Diffusion Transformer (DiT) training.
awesome-large-audio-models
This repository is a curated list of awesome large AI models in audio signal processing, focusing on the application of large language models to audio tasks. It includes survey papers, popular large audio models, automatic speech recognition, neural speech synthesis, speech translation, other speech applications, large audio models in music, and audio datasets. The repository aims to provide a comprehensive overview of recent advancements and challenges in applying large language models to audio signal processing, showcasing the efficacy of transformer-based architectures in various audio tasks.