Viewing enriched Twitter post
Meet Qwen3-Voice-Embedding: a powerful voice identity model that extracts unique speaker signatures from audio. It's like a fingerprint scanner for voices, and it's optimized for real-time applications. This is a game-changer for voice tech! https://t.co/HEPUpu0QF6
{
"media": [
{
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2027104295972446642/media_0.jpg?",
"media_url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2027104295972446642/media_0.jpg?",
"type": "photo",
"filename": "media_0.jpg"
}
],
"processed_at": "2026-03-01T19:19:35.094795",
"pipeline_version": "2.0"
}{
"type": "tweet",
"id": "2027104295972446642",
"url": "https://x.com/HuggingModels/status/2027104295972446642",
"twitterUrl": "https://twitter.com/HuggingModels/status/2027104295972446642",
"text": "Meet Qwen3-Voice-Embedding: a powerful voice identity model that extracts unique speaker signatures from audio. It's like a fingerprint scanner for voices, and it's optimized for real-time applications. This is a game-changer for voice tech! https://t.co/HEPUpu0QF6",
"source": "Twitter for iPhone",
"retweetCount": 62,
"replyCount": 5,
"likeCount": 414,
"quoteCount": 5,
"viewCount": 19375,
"createdAt": "Thu Feb 26 19:31:40 +0000 2026",
"lang": "en",
"bookmarkCount": 381,
"isReply": false,
"inReplyToId": null,
"conversationId": "2027104295972446642",
"displayTextRange": [
0,
241
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "HuggingModels",
"url": "https://x.com/HuggingModels",
"twitterUrl": "https://twitter.com/HuggingModels",
"id": "1996878964896550917",
"name": "Hugging Models",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1996894776466235392/ncAyorB3_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/1996878964896550917/1764933773",
"description": "",
"location": "",
"followers": 30248,
"following": 15,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Fri Dec 05 09:47:20 +0000 2025",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 184,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 1320,
"statusesCount": 5207,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [],
"profile_bio": {
"description": "We're sharing/showcasing best of @huggingface models. Follow to stay in loop. Promoting Open-Source models.",
"entities": {
"description": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": [
{
"id_str": "0",
"indices": [
33,
45
],
"name": "",
"screen_name": "huggingface"
}
]
},
"url": {
"urls": [
{
"display_url": "ko-fi.com/huggingmodels",
"expanded_url": "http://ko-fi.com/huggingmodels",
"indices": [
0,
23
],
"url": "https://t.co/EL4LLegIh5"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"display_url": "pic.twitter.com/HEPUpu0QF6",
"expanded_url": "https://twitter.com/HuggingModels/status/2027104295972446642/photo/1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"orig": {
"faces": []
}
},
"id_str": "2027104293405548544",
"indices": [
242,
265
],
"media_key": "3_2027104293405548544",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARwhuJ1jG2AACgACHCG4nfwbIbIAAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABHCG4nWMbYAAKAAIcIbid/BshsgAA",
"media_key": "3_2027104293405548544"
}
},
"media_url_https": "https://pbs.twimg.com/media/HCG4nWMbYAAlGo3.jpg",
"original_info": {
"focus_rects": [
{
"h": 655,
"w": 1170,
"x": 0,
"y": 73
},
{
"h": 1170,
"w": 1170,
"x": 0,
"y": 0
},
{
"h": 1334,
"w": 1170,
"x": 0,
"y": 0
},
{
"h": 1458,
"w": 729,
"x": 0,
"y": 0
},
{
"h": 1458,
"w": 1170,
"x": 0,
"y": 0
}
],
"height": 1458,
"width": 1170
},
"sizes": {
"large": {
"h": 1458,
"w": 1170
}
},
"type": "photo",
"url": "https://t.co/HEPUpu0QF6"
}
]
},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"quoted_tweet": null,
"retweeted_tweet": null,
"isLimitedReply": false,
"article": null
}