Text-to-Speech
Transformers
10 languages
music
Inference Endpoints
or4cl3ai commited on
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Create config.json

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config.json ADDED
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+ {
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+ "name": "SoundSlayerAI",
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+ "description": "An innovative project for music-related tasks utilizing pyannote-audio library",
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+ "datasets": \[
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+ "Fhrozen/AudioSet2K22",
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+ "Chr0my/Epidemic_sounds",
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+ "ChristophSchuhmann/lyrics-index",
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+ "Cropinky/rap_lyrics_english",
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+ "tsterbak/eurovision-lyrics-1956-2023",
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+ "brunokreiner/genius-lyrics",
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+ "google/MusicCaps",
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+ "ccmusic-database/music_genre",
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+ "Hyeon2/riffusion-musiccaps-dataset",
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+ "SamAct/autotrain-data-musicprompt",
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+ "Chr0my/Epidemic_music",
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+ "juliensimon/autonlp-data-song-lyrics",
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+ "Datatang/North_American_English_Speech_Data_by_Mobile_Phone_and_PC",
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+ "Chr0my/freesound.org",
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+ "teticio/audio-diffusion-256",
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+ "KELONMYOSA/dusha_emotion_audio",
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+ "Ar4ikov/iemocap_audio_text_splitted",
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+ "flexthink/ljspeech",
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+ "mozilla-foundation/common_voice_13_0",
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+ "facebook/voxpopuli",
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+ "SocialGrep/one-million-reddit-jokes",
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+ "breadlicker45/human-midi-rlhf",
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+ "breadlicker45/midi-gpt-music-small",
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+ "projectlosangeles/Los-Angeles-MIDI-Dataset",
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+ "huggingartists/epic-rap-battles-of-history",
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+ "SocialGrep/one-million-reddit-confessions",
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+ "shahules786/prosocial-nsfw-reddit",
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+ "Thewillonline/reddit-sarcasm",
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+ "autoevaluate/autoeval-eval-futin\_\_guess-vi-4200fb-2012366606",
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+ "lmsys/chatbot_arena_conversations",
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+ "mozilla-foundation/common_voice_11_0",
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+ "mozilla-foundation/common_voice_4_0"
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+ \],
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+ "library": "pyannote-audio",
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+ "metrics": \[
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+ "accuracy",
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+ "bertscore",
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+ "BLEU",
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+ "BLEURT",
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+ "brier_score",
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+ "character"
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+ \],
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+ "language": "English",
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+ "usage": \[
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+ "Install the required dependencies by running pip install pyannote-audio.",
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+ "Import the necessary modules from the 'pyannote.audio' package to access the desired functionalities.",
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+ "Load the audio data or use the provided datasets to perform tasks such as audio segmentation, speaker diarization, music transcription, and more.",
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+ "Apply the appropriate algorithms and models from the 'pyannote.audio' library to process and analyze the audio data.",
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+ "Evaluate the results using the specified metrics, such as accuracy, bertscore, BLEU, BLEURT, brier_score, and character.",
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+ "Iterate and refine your approach to achieve the desired outcomes for your music-related tasks."
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+ \],
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+ "license": "Openrail",
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+ "contributions": "Contributions to SoundSlayerAI are welcome! If you have any ideas, bug fixes, or enhancements, feel free to submit a pull request or open an issue on the GitHub repository.",
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+ "contact": "\[or4cl3ai@gmail.com\]"
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+ }