{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreibtng5d64osyzkyzsqkvmetwnzax22ip4tanvyab3fic6l23ccb4e",
    "uri": "at://did:plc:pgryn3ephfd2xgft23qokfzt/app.bsky.feed.post/3mkahmxwdphu2"
  },
  "path": "/t/opensource-llms-for-audio-understanding-british-accents/175528#post_1",
  "publishedAt": "2026-04-24T11:09:14.000Z",
  "site": "https://discuss.huggingface.co",
  "textContent": "Hello\n\nI’m working on a dataset including audio, transcript, gender, and accent from 120 volunteers with different British accents.\nI firstly wanted to use ASR to check the ability of models.\nThen, use audio classification models for accent detection and also fine-tune models.\n\nBut, I’m also looking for directions with some focus on LLMs. If there is a benchmark of opensource LLMs for audio understanding, then I would appreciate it or if you have any other suggestions for contribution on this dataset.\n\nThanks!",
  "title": "Opensource LLMs for Audio Understanding - British Accents"
}