Sam Audio

Sam Audio is an audio separation tool based on Meta's Segment Anything Audio Model launched by Metakey. It utilizes multimodal cues (textual descriptions, visual cues, or time spans) to isolate specific sounds from complex audio mixtures, outputting high-quality target and residual audio tracks. This product is positioned as a professional audio editor and is suitable for music production, podcast editing and other fields. Its main advantages include AI-driven audio separation, support for multiple prompt methods, unified model processing of multiple audio separation tasks, retention of the original sampling rate, etc. Product price is free.

Demand group:

["Music creators: Sam Audio can help them separate the sounds of various instruments in the band's performance, which facilitates post-production mixing, arranging and other work. It can also extract pure human voices and improve the quality of musical works.", "Podcast editors: can easily separate and process the guest voices, background music, sound effects, etc. in the podcast, making the podcast content clearer and more professional.", "Film and television producers: During the film and television production process, you can use this tool to separate various sound elements, such as dialogue, environmental sound effects, background music, etc., to facilitate audio post-production and adjustment.", "Scientific researchers: For scientific research projects that need to process audio data, Sam Audio can help them extract specific sound information and conduct data analysis and research."]

Example of usage scenario:

Music production: When making music, import the audio of the band's live performance into Sam Audio , separate the sounds of guitar, bass, drums and other instruments through text prompts, and then adjust and mix the sounds of each instrument individually.

Podcast editing: For podcasts recorded outdoors, use time range prompts to isolate the guest's voice part while removing interfering sounds such as traffic noise, wind, etc. in the background.

Film and television production: In film and television post-production, visual cues are used to separate character dialogue, environmental sound effects, and background music from movie audio for audio optimization and adjustment.

Product features:

AI-driven audio separation: With the help of Meta's AI basic model, different elements in complex audio can be separated efficiently and intelligently, such as instruments, vocals, etc., can be accurately extracted from the audio.

Vocal isolation: It can accurately isolate the vocal part in the audio, providing pure vocal material for music production, audio editing and other work.

Instrument separation: It can separate the sounds of various instruments from the mixed audio, making it easier for music creators to process and adjust the sounds of different instruments independently.

Voice extraction: Accurately extract voice content from audio, suitable for scenarios such as podcast editing and conference recording organization.

Sound effect isolation: Various sound effects in the audio can be separated separately to meet the needs of film and television production, game development, etc. for separate processing of sound effects.

Text-based prompts: Users can use natural language to describe the sounds they want to separate, such as "piano sound", "dog barking", etc., and the system will perform audio separation based on text prompts.

Visual prompts: Help users more accurately specify the audio parts to be separated through intuitive visual methods, such as marking on the audio waveform diagram.

Tips based on time range: Users can specify a specific time range, such as from the 3rd second to the 7th second, and the system will separate the audio within this time period.

Usage tutorial:

1. Open the website: visit https://samaudio.audio.

2. Upload audio: Select the audio file you want to separate on the website and upload it.

3. Select the prompt method: select text prompts, visual prompts or time range prompts according to your needs.

4. Enter the prompt content: If you select a text prompt, enter a description of the sound to be separated; if you select a visual prompt, mark it on the audio waveform; if you select a time range prompt, specify a specific time range.

5. Start separation: Click the separation button, and the system starts the audio separation operation.

6. Download the separation results: After the separation is completed, download the separated target audio and residual audio.