The Burmese Daily Dialogue Corpus ( BDDC ) is a synthetic speech dataset based on everyday conversational speech in Myanmar (Burmese). All 13 speakers in the dataset are synthetic Burmese speakers, and no human individual's voice recordings are used. Each speaker was independently designed to have different Speaking Styles and Voice Characteristics. The two test speakers are unseen speakers who are not included in the training or validation sets. To support speaker-independent evaluation, two speakers who are not included in the training or validation sets are reserved exclusively for the test set. This setup allows models to be evaluated on unseen-speaker generalization. In the…
Independent publisher
Thant Zin Phyo
thantzinphyo
Exploring Burmese Speech & AI/ML
Models in Library0
Datasets in Library2
Models on Hugging Face9
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Published tasks: Speech recognition.
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Datasets
Burmese Daily Dialogue Corpus (BDDC) သည် မြန်မာဘာသာဖြင့် နေ့စဉ်စကားပြောပုံစံများကို အခြေခံထားသော Synthetic Speech Dataset ဖြစ်ပါသည်။ ဤ dataset တွင် ပါဝင်သော Speaker ၁၃ ဦးသည် Synthetic Burmese Speakers များဖြစ်ပြီး မည်သည့် လူသားတစ်ဦးတစ်ယောက်၏ အသံကိုမျှ အသုံးပြုထားခြင်း မရှိပါ။ Speaker တစ်ဦးချင်းစီတွင် စကားပြောပုံ (Speaking Style) နှင့် အသံအရည်အသွေး (Voice Characteristics) မတူညီစေရန် ဖန်တီးထားပါသည်။ လူသားအသံ recording များကို voice cloning သို့မဟုတ် voice conversion ပြုလုပ်ရန် အသုံးပြုခြင်းမရှိသကဲ့သို့ အခြား dataset များမှ အသံများကိုလည်း ထုတ်ယူအသုံးပြုထားခြင်း မရှိပါ။ Test speakers ၂ ဦးသည် Training နှင့် Validation တွင် မပါဝင်သော unseen speakers များဖြစ်ပါသည်။ Speaker-independent evaluation…