File size: 4,453 Bytes
0bc7a9e 094ba32 bf71ef8 d16843b 82501b8 0bc7a9e d58c4b5 0bc7a9e bf71ef8 3f15c96 0bc7a9e d58c4b5 70c2568 0bc7a9e 59d4bc1 70c2568 59d4bc1 82501b8 d58c4b5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 |
---
license: creativeml-openrail-m
datasets:
- ChristophSchuhmann/lyrics-index
- Cropinky/rap_lyrics_english
- tsterbak/eurovision-lyrics-1956-2023
- brunokreiner/genius-lyrics
- google/MusicCaps
- ccmusic-database/music_genre
- Hyeon2/riffusion-musiccaps-dataset
- SamAct/autotrain-data-musicprompt
- Chr0my/Epidemic_music
- juliensimon/autonlp-data-song-lyrics
- Datatang/North_American_English_Speech_Data_by_Mobile_Phone_and_PC
- Chr0my/freesound.org
- teticio/audio-diffusion-256
- KELONMYOSA/dusha_emotion_audio
- Ar4ikov/iemocap_audio_text_splitted
- flexthink/ljspeech
- mozilla-foundation/common_voice_13_0
- facebook/voxpopuli
- SocialGrep/one-million-reddit-jokes
- breadlicker45/human-midi-rlhf
- breadlicker45/midi-gpt-music-small
- projectlosangeles/Los-Angeles-MIDI-Dataset
- huggingartists/epic-rap-battles-of-history
language:
- en
- es
- de
- ru
- ro
- it
- pt
- ja
metrics:
- bleu
- accuracy
- bertscore
- character
- brier_score
- roc_auc
- precision
- f1
- recall
- charcut_mt
- cer
pipeline_tag: text-to-speech
library_name: keras
tags:
- music
---
---
license: creativeml-openrail-m
Owner: Dustin Groves, CEO/Founder of OR4CLAI Solutions
Creator: Or4cl3 AI Solutions
Description
Unlock limitless creative potential through automatic audio generation powered by advanced artificial intelligence. Experience SoundSlayerAI today and see how easy it is to generate captivating music, remixes, sound effects, and more! Made available by OR4CLAI team members dedicated to pushing the boundaries of technology and innovation. Let us know how we can improve – happy experimenting!
SoundSlayerAI features
Feature Description
Audio Generation Auto-create engaging music pieces across genres ranging from electro pop and hard rock to acoustic guitar via intuitive prompts.
Audio Alterations Enhance existing songs through customization options for tempo, mix volumes, equalization, reverb levels, and more. Modify instruments and apply dynamic FX.
Immersive Elements Design powerful atmospherics including impactful noise
Model name: SoundSlayerAI
Model type: Text-to-Speech, Audio Generation
Model description: SoundSlayerAI is an advanced text-to-speech and audio generation model that uses artificial intelligence to automatically create engaging music pieces across genres ranging from electro pop and hard rock to acoustic guitar. It also allows users to enhance existing songs through customization options for tempo, mix volumes, equalization, reverb levels, and more. Additionally, the model includes immersive elements that enable users to design powerful atmospherics including impactful noise. SoundSlayerAI is made available by OR4CLAI Solutions, a team dedicated to pushing the boundaries of technology and innovation.
Model features:
- Audio Generation: SoundSlayerAI enables users to auto-create engaging music pieces across multiple genres via intuitive prompts.
- Audio Alterations: Users can enhance existing songs through customization options for tempo, mix volumes, equalization, reverb levels, and more. It also enables users to modify instruments and apply dynamic FX.
- Immersive Elements: SoundSlayerAI includes powerful atmospheric design features that allow users to create impactful noise and other immersive elements.
License: Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA)
Model architecture: SoundSlayerAI uses a combination of natural language processing and audio generation techniques to enable text-to-speech and audio generation capabilities. The model is built using Adapter Transformers, an open-source platform for transfer learning in natural language processing.
Datasets used: SoundSlayerAI was trained on a variety of datasets, including the Mozilla Common Voice dataset and the VoxPopuli dataset.
Intended uses: SoundSlayerAI is intended for use by musicians, composers, and other music enthusiasts who are looking to create engaging music pieces or enhance existing songs. It can also be used by audio engineers and sound designers to design powerful atmospherics and immersive elements.
Limitations and bias: As with any AI model, SoundSlayerAI may have limitations and bias based on the datasets it was trained on and the context in which it is used. It is important to recognize that the model may not always produce accurate or unbiased results, and users should exercise caution when using the model.
Creator: OR4CLAI Solutions
Owner: OR4CLAI Solutions |