Best AI tools for< Audio Researcher >

Clip.audio is an AI-powered audio search engine that allows users to search for and discover audio clips from a variety of sources, including podcasts, music, and sound effects. The platform uses advanced machine learning algorithms to analyze and index audio content, making it easy for users to find the specific audio clips they are looking for.

Article.Audio is a web application that allows users to convert articles into audio files, enabling them to listen to the content instead of reading it. Users can easily convert text documents, PDFs, and web links into audio format, with the option to choose from various languages and speaking styles. The application is powered by Thundercontent and offers a user-friendly interface for a seamless experience.

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.

Shownotes Summarize with ChatGPT is an AI-powered tool that helps you summarize long-form audio and video content. With just a few clicks, you can get a concise and accurate summary of any podcast, lecture, or meeting. Shownotes Summarize with ChatGPT is the perfect tool for busy professionals who want to stay up-to-date on the latest information without having to spend hours listening to or watching content.

Ragobble is an audio to LLM data tool that allows you to easily convert audio files into text data that can be used to train large language models (LLMs). With Ragobble, you can quickly and easily create high-quality training data for your LLM projects.

Trint is an AI transcription software that converts video, audio, and speech to text in over 40 languages with up to 99% accuracy. It allows users to transcribe, translate, edit, and collaborate seamlessly in a single workflow. Trint is trusted by professionals in various industries for its efficiency and accuracy in transcription tasks.

Gladia provides a fast and accurate way to turn unstructured audio data into valuable business knowledge. Its Audio Intelligence API helps capture, enrich, and leverage hidden insights in audio data, powered by optimized Whisper ASR. Key features include highly accurate audio and video transcription, speech-to-text translation in 99 languages, in-depth insights with add-ons, and secure hosting options. Gladia's AI transcription and multilingual audio intelligence features enhance user experience and boost retention in various industries, including content and media, virtual meetings, workspace collaboration, and call centers. Developers can easily integrate cutting-edge AI into their products without AI expertise or setup costs.

tape it is an iOS app that offers an automatic denoiser for speech, music, samples, and field recordings. The app simplifies audio processing, providing a better platform for song ideas. The company is involved in active AI research to enhance its denoising capabilities. Founded by musicians and software enthusiasts, tape it is a small company with a passion for music and technology, operating from Berlin, Stockholm, London, and Los Angeles.

Recast is a platform that transforms articles into rich audio summaries, making it easier for users to consume content on the go, while working out, or simply looking for a more convenient way to stay informed. It provides entertaining, informative, and easy-to-understand audio conversations, helping users save time, reduce screen-time, understand content more deeply, discover interesting stories, and clear their reading list. Recast aims to enhance the reading experience by converting long articles into engaging podcasts, enabling users to enjoy content in a conversational format.

Alphy is an AI-powered tool that helps users transcribe, summarize, and generate content from audio and video files. It offers a range of features such as high-accuracy transcription, multiple export options, language translation, and the ability to create custom AI agents. Alphy is designed to save users time and effort by automating tasks and providing valuable insights from audio content.

MacWhisper is a native macOS application that utilizes OpenAI's Whisper technology for transcribing audio files into text. It offers a user-friendly interface for recording, transcribing, and editing audio, making it suitable for various use cases such as transcribing meetings, lectures, interviews, and podcasts. The application is designed to protect user privacy by performing all transcriptions locally on the device, ensuring that no data leaves the user's machine.

FreeSubtitles.AI is a free online tool that allows users to transcribe audio and video files to text. It supports a wide range of file formats and languages, and offers both free and paid transcription services. The free service allows users to transcribe files up to 300 MB in size and 1 hour in duration, while the paid service offers more advanced features such as larger file size limits, longer transcription durations, and higher accuracy models.

Vscoped is an AI-powered audio to text transcribing service that provides fast and accurate transcriptions in over 90 languages. It also offers transcription insights and translation services. Vscoped is suitable for various types of audio content, including business meetings, interviews, sales calls, and videos. With its exceptional accuracy, multilingual capabilities, and intuitive user experience, Vscoped helps businesses and individuals boost productivity and gain insights from their audio data.

WavoAI is an AI-powered transcription and summarization tool that helps users transcribe audio recordings quickly and accurately. It offers features such as speaker identification, annotations, and interactive AI insights, making it a valuable tool for a wide range of professionals, including academics, filmmakers, podcasters, and journalists.

Ecango is an AI-powered audio and video transcription tool that allows users to convert audio and video files into text in over 133 languages. It is easy to use, accurate, and affordable, making it a great choice for businesses and individuals alike.

NutshellPro is an AI-powered tool that allows users to summarize any video or audio file. It uses advanced natural language processing and machine learning algorithms to extract the key points and generate a concise, easy-to-read summary. NutshellPro is designed to help users save time and effort by quickly getting the gist of any video or audio content.

Wave is an AI-powered transcription and summarization application designed for iOS and Android devices. It allows users to effortlessly record audio, transcribe it into text, and generate concise summaries. With features like multilingual support, phone call capture, and Siri shortcut compatibility, Wave aims to streamline note-taking during meetings, walk and talks, and other important moments. Users can customize the length and format of summaries, share audio recordings easily, and enjoy unlimited recording capabilities. Wave prioritizes user privacy and offers different pricing plans based on recording needs.

VideoToWords.ai is an AI-powered transcription tool that converts audio and video files into accurate written text. It utilizes advanced machine learning algorithms to transcribe files quickly and efficiently, catering to a wide range of users such as journalists, students, researchers, podcast hosts, filmmakers, content creators, marketers, and professionals from various industries. The platform supports multiple languages, offers convenient text editing and export options, and ensures data security and privacy for users.

AI or Not is an AI-powered tool that helps businesses and individuals detect AI-generated images and audio. It uses advanced machine learning algorithms to analyze content and determine the likelihood of AI manipulation. With AI or Not, users can protect themselves from fraud, misinformation, and other malicious activities involving AI-generated content.

Read It is an AI-powered tool that allows users to convert newsletters and articles into podcasts effortlessly. By utilizing cutting-edge AI text-to-speech technology, users can listen to their favorite written content on the go. The tool provides users with a personal podcast feed URL upon sign-up, enabling them to add articles through email forwarding or using a bookmarklet. With a user-friendly interface and pay-as-you-go model, Read It offers a seamless experience for turning text-based content into audio podcasts.

The Neutone SDK is a tool designed for researchers to wrap their own audio models and run them in a DAW using the Neutone Plugin. It simplifies the process by allowing models to be built using PyTorch and minimal Python code, eliminating the need for extensive C++ knowledge. The SDK provides support for buffering inputs and outputs, sample rate conversion, and profiling tools for model performance testing. It also offers examples, notebooks, and a submission process for sharing models with the community.

WavCraft is an LLM-driven agent for audio content creation and editing. It applies LLM to connect various audio expert models and DSP function together. With WavCraft, users can edit the content of given audio clip(s) conditioned on text input, create an audio clip given text input, get more inspiration from WavCraft by prompting a script setting and let the model do the scriptwriting and create the sound, and check if your audio file is synthesized by WavCraft.

AudioLLMs is a curated collection of research papers focusing on developing, implementing, and evaluating language models for audio data. The repository aims to provide researchers and practitioners with a comprehensive resource to explore the latest advancements in AudioLLMs. It includes models for speech interaction, speech recognition, speech translation, audio generation, and more. Additionally, it covers methodologies like multitask audioLLMs and segment-level Q-Former, as well as evaluation benchmarks like AudioBench and AIR-Bench. Adversarial attacks such as VoiceJailbreak are also discussed.

Speech Trident is a repository focusing on speech/audio large language models, covering representation learning, neural codec, and language models. It explores speech representation models, speech neural codec models, and speech large language models. The repository includes contributions from various researchers and provides a comprehensive list of speech/audio language models, representation models, and codec models.

KanTV is an open-source project that focuses on studying and practicing state-of-the-art AI technology in real applications and scenarios, such as online TV playback, transcription, translation, and video/audio recording. It is derived from the original ijkplayer project and includes many enhancements and new features, including: * Watching online TV and local media using a customized FFmpeg 6.1. * Recording online TV to automatically generate videos. * Studying ASR (Automatic Speech Recognition) using whisper.cpp. * Studying LLM (Large Language Model) using llama.cpp. * Studying SD (Text to Image by Stable Diffusion) using stablediffusion.cpp. * Generating real-time English subtitles for English online TV using whisper.cpp. * Running/experiencing LLM on Xiaomi 14 using llama.cpp. * Setting up a customized playlist and using the software to watch the content for R&D activity. * Refactoring the UI to be closer to a real commercial Android application (currently only supports English). Some goals of this project are: * To provide a well-maintained "workbench" for ASR researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To provide a well-maintained "workbench" for LLM researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To create an Android "turn-key project" for AI experts/researchers (who may not be familiar with regular Android software development) to focus on device-side AI R&D activity, where part of the AI R&D activity (algorithm improvement, model training, model generation, algorithm validation, model validation, performance benchmark, etc.) can be done very easily using Android Studio IDE and a powerful Android phone.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

The 'awesome-sound_event_detection' repository is a curated reading list focusing on sound event detection and Sound AI. It includes research papers covering various sub-areas such as learning formulation, network architecture, pooling functions, missing or noisy audio, data augmentation, representation learning, multi-task learning, few-shot learning, zero-shot learning, knowledge transfer, polyphonic sound event detection, loss functions, audio and visual tasks, audio captioning, audio retrieval, audio generation, and more. The repository provides a comprehensive collection of papers, datasets, and resources related to sound event detection and Sound AI, making it a valuable reference for researchers and practitioners in the field.

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.

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.

SLAM-LLM is a deep learning toolkit designed for researchers and developers to train custom multimodal large language models (MLLM) focusing on speech, language, audio, and music processing. It provides detailed recipes for training and high-performance checkpoints for inference. The toolkit supports tasks such as automatic speech recognition (ASR), text-to-speech (TTS), visual speech recognition (VSR), automated audio captioning (AAC), spatial audio understanding, and music caption (MC). SLAM-LLM features easy extension to new models and tasks, mixed precision training for faster training with less GPU memory, multi-GPU training with data and model parallelism, and flexible configuration based on Hydra and dataclass.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

Adversarial Robustness Toolbox (ART) is a Python library for Machine Learning Security. ART provides tools that enable developers and researchers to defend and evaluate Machine Learning models and applications against the adversarial threats of Evasion, Poisoning, Extraction, and Inference. ART supports all popular machine learning frameworks (TensorFlow, Keras, PyTorch, MXNet, scikit-learn, XGBoost, LightGBM, CatBoost, GPy, etc.), all data types (images, tables, audio, video, etc.) and machine learning tasks (classification, object detection, speech recognition, generation, certification, etc.).

MicroLens is a content-driven micro-video recommendation dataset at scale. It provides a large dataset with multimodal data, including raw text, images, audio, video, and video comments, for tasks such as multi-modal recommendation, foundation model building, and fairness recommendation. The dataset is available in two versions: MicroLens-50K and MicroLens-100K, with extracted features for multimodal recommendation tasks. Researchers can access the dataset through provided links and reach out to the corresponding author for the complete dataset. The repository also includes codes for various algorithms like VideoRec, IDRec, and VIDRec, each implementing different video models and baselines.

Awesome-Colorful-LLM is a meticulously assembled anthology of vibrant multimodal research focusing on advancements propelled by large language models (LLMs) in domains such as Vision, Audio, Agent, Robotics, and Fundamental Sciences like Mathematics. The repository contains curated collections of works, datasets, benchmarks, projects, and tools related to LLMs and multimodal learning. It serves as a comprehensive resource for researchers and practitioners interested in exploring the intersection of language models and various modalities for tasks like image understanding, video pretraining, 3D modeling, document understanding, audio analysis, agent learning, robotic applications, and mathematical research.

CosyVoice is a tool designed for speech synthesis, offering pretrained models for zero-shot, sft, instruct inference. It provides a web demo for easy usage and supports advanced users with train and inference scripts. The tool can be deployed using grpc for service deployment. Users can download pretrained models and resources for immediate use or train their own models from scratch. CosyVoice is suitable for researchers, developers, linguists, AI engineers, and speech technology enthusiasts.

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.

Xorbits Inference (Xinference) is a powerful and versatile library designed to serve language, speech recognition, and multimodal models. With Xorbits Inference, you can effortlessly deploy and serve your or state-of-the-art built-in models using just a single command. Whether you are a researcher, developer, or data scientist, Xorbits Inference empowers you to unleash the full potential of cutting-edge AI models.

This repository, Awesome-LLM-Survey, serves as a comprehensive collection of surveys related to Large Language Models (LLM). It covers various aspects of LLM, including instruction tuning, human alignment, LLM agents, hallucination, multi-modal capabilities, and more. Researchers are encouraged to contribute by updating information on their papers to benefit the LLM survey community.

noScribe is an AI-based software designed for automated audio transcription, specifically tailored for transcribing interviews for qualitative social research or journalistic purposes. It is a free and open-source tool that runs locally on the user's computer, ensuring data privacy. The software can differentiate between speakers and supports transcription in 99 languages. It includes a user-friendly editor for reviewing and correcting transcripts. Developed by Kai Dröge, a PhD in sociology with a background in computer science, noScribe aims to streamline the transcription process and enhance the efficiency of qualitative analysis.

NeMo Framework is a generative AI framework built for researchers and pytorch developers working on large language models (LLMs), multimodal models (MM), automatic speech recognition (ASR), and text-to-speech synthesis (TTS). The primary objective of NeMo is to provide a scalable framework for researchers and developers from industry and academia to more easily implement and design new generative AI models by being able to leverage existing code and pretrained models.

Virtual Mike Russell from Music Radio Creative. Ask me your audio, podcasting and AI questions!

Doing art design and research, including fine arts, audio arts and video arts, designed by Prof. Dr. Fred Y. Ye (Ying Ye)

Give me an audio transcript and I'll give you summarization, insights and actionable plan.

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.

Friendly and informative MAX/MSP guide.

Your ffmpeg command assistant.

Helpt met vragen over podcasts, gebaseerd op Marvin Jacobs' werk.

An academic-focused voice-to-text assistant for college students.

Capture, Convert, Clarify: Your Notes, Redefined.

Professional, approachable podcast transcriber

Synthesizes ethical AI principles from documentation and external research.

Expert in Ethics of Artificial Intelligence, offering comprehensive, balanced perspectives based on thorough research, with a focus on emerging trends and responsible AI implementation. Powered by Breebs (www.breebs.com)

AI ethics advisor with autonomous insights

Your personal Ethereum magician — Simply ask a question or provide a code sample for insights into vulnerabilities, gas optimizations, and best practices. Don't be shy to ask about tooling and legendary attacks.

Supportive and engaging AI Ethics tutor, providing practical tips and career guidance.

智能合约代码分析专家

Expert in loudspeaker design and acoustic theory.

Scans and transcribes images into documents, offers downloadable copies in a document and offers to translate into different languages

IAS/IFRS Expert Simplifying Accounting Standard Queries

A frequency response chart reader by Headphonesty