File size: 2,380 Bytes
4b51137
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
"name": "SoundSlayerAI",
"description": "An innovative project for music-related tasks utilizing pyannote-audio library",
"datasets": \[
"Fhrozen/AudioSet2K22",
"Chr0my/Epidemic_sounds",
"ChristophSchuhmann/lyrics-index",
"Cropinky/rap_lyrics_english",
"tsterbak/eurovision-lyrics-1956-2023",
"brunokreiner/genius-lyrics",
"google/MusicCaps",
"ccmusic-database/music_genre",
"Hyeon2/riffusion-musiccaps-dataset",
"SamAct/autotrain-data-musicprompt",
"Chr0my/Epidemic_music",
"juliensimon/autonlp-data-song-lyrics",
"Datatang/North_American_English_Speech_Data_by_Mobile_Phone_and_PC",
"Chr0my/freesound.org",
"teticio/audio-diffusion-256",
"KELONMYOSA/dusha_emotion_audio",
"Ar4ikov/iemocap_audio_text_splitted",
"flexthink/ljspeech",
"mozilla-foundation/common_voice_13_0",
"facebook/voxpopuli",
"SocialGrep/one-million-reddit-jokes",
"breadlicker45/human-midi-rlhf",
"breadlicker45/midi-gpt-music-small",
"projectlosangeles/Los-Angeles-MIDI-Dataset",
"huggingartists/epic-rap-battles-of-history",
"SocialGrep/one-million-reddit-confessions",
"shahules786/prosocial-nsfw-reddit",
"Thewillonline/reddit-sarcasm",
"autoevaluate/autoeval-eval-futin\_\_guess-vi-4200fb-2012366606",
"lmsys/chatbot_arena_conversations",
"mozilla-foundation/common_voice_11_0",
"mozilla-foundation/common_voice_4_0"
\],
"library": "pyannote-audio",
"metrics": \[
"accuracy",
"bertscore",
"BLEU",
"BLEURT",
"brier_score",
"character"
\],
"language": "English",
"usage": \[
"Install the required dependencies by running pip install pyannote-audio.",
"Import the necessary modules from the 'pyannote.audio' package to access the desired functionalities.",
"Load the audio data or use the provided datasets to perform tasks such as audio segmentation, speaker diarization, music transcription, and more.",
"Apply the appropriate algorithms and models from the 'pyannote.audio' library to process and analyze the audio data.",
"Evaluate the results using the specified metrics, such as accuracy, bertscore, BLEU, BLEURT, brier_score, and character.",
"Iterate and refine your approach to achieve the desired outcomes for your music-related tasks."
\],
"license": "Openrail",
"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.",
"contact": "\[or4cl3ai@gmail.com\]"
}