pdf-to-podcast is an AI-powered productivity tool that transforms PDF documents into podcast episodes. It utilizes OpenAI's text-to-speech model and Google Gemini technology to process PDF content into natural dialogue suitable for audio podcasts, outputting as MP3 files. The primary advantage of this tool is its ability to convert static document content into dynamic audio content, allowing users to listen on mobile devices while also serving as a source of material for podcast episodes.

Stable Audio ControlNet is a music generation model based on Stable Audio Open, fine-tuned with DiT ControlNet. It can operate on GPUs with 16GB VRAM and supports audio control. Although still in development, it is capable of generating and controlling music, offering significant technical implications and application potential.

bleep_that_sht is an application written in Python that uses the Whisper transcription model to transcribe audio and then replace selected keywords, using corresponding timestamps with beeps. All processing is done locally, no data is uploaded, and user privacy is protected.

FoleyCrafter is a text-based video to audio generation framework capable of producing high-quality audio that is semantically relevant to the input video and time-synced. This technology holds significant importance in video production, especially during post-production, where it can greatly enhance efficiency and audio quality. It was jointly developed by the Shanghai Artificial Intelligence Laboratory and the Chinese University of Hong Kong, Shenzhen.

Stable Audio Open 1.0 is an AI model that utilizes an autoencoder, T5-based text embeddings, and a transformer-based diffusion model to generate up to 47 seconds of stereo audio. It generates music and audio through text prompts, supporting research and experiments to explore the current capabilities of generative AI models. The model is trained on datasets from Freesound and the Free Music Archive (FMA), ensuring data diversity and copyright legality.

Make-An-Audio 2 is a text-to-audio generation technology based on diffusion models, co-developed by researchers from Zhejiang University, ByteDance, and the Chinese University of Hong Kong. This technology utilizes pre-trained large language models (LLMs) to parse text, optimizing for semantic alignment and temporal consistency, thereby improving the quality of generated audio. It also incorporates a feed-forward Transformer-based diffusion denoiser to enhance performance in generating variable-length audio and bolster the extraction of temporal information. Furthermore, by leveraging LLMs to convert abundant audio label data into audio-text datasets, the issue of time data scarcity is addressed.

Suno API is a non-official Suno AI client based on Python and Streamlit, currently supporting music generation and retrieval of music information functionalities. It comes with built-in maintenance and activation features, removing concerns about token expiration. Users can set multiple accounts for storage and usage. Additionally, it supports multiple languages, including Chinese, English, Korean, Japanese, etc.

Suno Music Generator is an unofficial NextJS-based suno.ai music generation website. Users can generate desired songs by inputting a prompt. Through JavaScript reverse engineering and parsing of suno.ai's song generation API, it includes built-in token refresh and keep-alive functionality, eliminating worries about token expiration.

musicgen-songstarter-v0.2 is an audio generation model designed for music producers, specializing in generating useful melody loops. Fine-tuned on a melody loop dataset from the Splice sample library, it can generate stereo audio with a frequency of 32kHz. Compared to version v0.1, v0.2 utilizes three times the unique samples and the model size has increased from medium to large.

Remusic is an AI-driven music creation platform that allows users to generate unique music, lyrics, and album covers through simple inputs. This platform transforms traditional music creation methods, enabling those without a professional music background to easily produce high-quality music works. Remusic's main advantages include ease of use, diversity, and innovation, supporting a variety of music styles and genres while providing royalty-free music suitable for both personal and commercial use. Background information on Remusic indicates it has over 2,000 creators and more than 10,000 pieces of music and songs, with a user satisfaction rate of 98%.

pdf-to-podcast is an AI-powered productivity tool that transforms PDF documents into podcast episodes. It utilizes OpenAI's text-to-speech model and Google Gemini technology to process PDF content into natural dialogue suitable for audio podcasts, outputting as MP3 files. The primary advantage of this tool is its ability to convert static document content into dynamic audio content, allowing users to listen on mobile devices while also serving as a source of material for podcast episodes.

Covers is a music creation tool launched by Suno that allows users to convert any sound, from simple voice memos to fully produced tracks, into new musical works while retaining the original melody. This feature is particularly suitable for music creators wanting to explore different styles or add lyrics to instrumental tracks. Currently, Covers is in early access testing, available to all Pro and Premier subscribers, allowing users to try it for free up to 200 times. After that, each new cover generated will consume 10 credits.

Stable Audio ControlNet is a music generation model based on Stable Audio Open, fine-tuned with DiT ControlNet. It can operate on GPUs with 16GB VRAM and supports audio control. Although still in development, it is capable of generating and controlling music, offering significant technical implications and application potential.

SAAR is an AI music assistant designed to help users create music through intuitive voice or text conversations. It is similar to Siri or Alexa, but focused specifically on music creation. SAAR can generate music and lyrics, facilitating musical discussions with users. It is crafted for musicians and dreamers, aiming to simplify the music creation process and make creativity easier to achieve.

Audio Isolation is an online audio processing service provided by ElevenLabs, dedicated to segregating vocals or background music from audio tracks. This technology is crucial for applications in music production and post-production video editing, significantly enhancing the efficiency and quality of audio editing. The service is provided via API, supports multiple programming languages, and offers high flexibility and ease of use. Pricing is based on the number of audio characters processed per minute, with specific costs not clearly indicated on the website.

bleep_that_sht is an application written in Python that uses the Whisper transcription model to transcribe audio and then replace selected keywords, using corresponding timestamps with beeps. All processing is done locally, no data is uploaded, and user privacy is protected.

FoleyCrafter is a text-based video to audio generation framework capable of producing high-quality audio that is semantically relevant to the input video and time-synced. This technology holds significant importance in video production, especially during post-production, where it can greatly enhance efficiency and audio quality. It was jointly developed by the Shanghai Artificial Intelligence Laboratory and the Chinese University of Hong Kong, Shenzhen.