Datasets:
audio
audioduration (s) 0.67
1.13
| word
stringlengths 2
8
| ipa
stringlengths 4
14
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xin chào
|
sin˧˧ caːw˨˩
|
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cảm ơn
|
kaːm˧˩ ʔəːn˧˧
|
|
Việt Nam
|
viət˧˩ˀ naːm˧˧
|
|
nước
|
nɨək˧˥
|
|
ăn
|
ăn˧˧
|
|
uống
|
ʔuəŋ˧˥
|
|
nhà
|
ɲaː˨˩
|
|
trường
|
ʈɨəŋ˨˩
|
|
bạn
|
ɓaːn˧˩ˀ
|
|
yêu
|
iəw˧˧
|
|
đẹp
|
ɗɛp˧˩ˀ
|
|
sách
|
saːk˧˥
|
|
hoa
|
hwaː˧˧
|
|
mẹ
|
mɛ˧˩ˀ
|
|
ba
|
ɓaː˧˧
|
|
con
|
kɔn˧˧
|
|
chó
|
cɔ˧˥
|
|
mèo
|
mɛːw˨˩
|
|
cây
|
kəj˧˧
|
|
lá
|
laː˧˥
|
|
trời
|
ʈəːj˨˩
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|
mưa
|
mɨə˧˧
|
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gió
|
zɔ˧˥
|
|
nắng
|
năŋ˧˥
|
|
đường
|
ɗɨəŋ˨˩
|
|
phố
|
fo˧˥
|
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làm
|
laːm˨˩
|
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việc
|
viək˧˩ˀ
|
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học
|
hɔk˧˩ˀ
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sinh
|
siɲ˧˧
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thầy
|
thəj˨˩
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cô
|
ko˧˧
|
|
tôi
|
toj˧˧
|
|
anh
|
aːɲ˧˧
|
|
em
|
ɛm˧˧
|
|
chị
|
ci˧˩ˀ
|
|
ông
|
ʔoŋ˧˧
|
|
bà
|
ɓaː˨˩
|
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năm
|
năm˧˧
|
|
tháng
|
thaːŋ˧˥
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ngày
|
ŋaːj˨˩
|
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sáng
|
saːŋ˧˥
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trưa
|
ʈɨə˧˧
|
|
chiều
|
ciəw˨˩
|
|
tối
|
toj˧˥
|
|
đêm
|
ɗem˧˧
|
|
một
|
mot˧˩ˀ
|
|
hai
|
haːj˧˧
|
|
ba
|
ɓaː˧˧
|
|
bốn
|
ɓon˧˥
|
Vietnamese IPA Dataset
A comprehensive Vietnamese IPA (International Phonetic Alphabet) dataset with word pronunciations and MP3 audio files for text-to-speech and pronunciation learning applications.
Dataset Description
Dataset Summary
This dataset contains 50 common Vietnamese words with their IPA (International Phonetic Alphabet) transcriptions and corresponding audio files. It's designed for:
- Text-to-speech systems development
- Vietnamese pronunciation learning
- Phonetic research
- Language learning applications
Supported Tasks
- Text-to-Speech: Generate Vietnamese speech from text
- Pronunciation Learning: Learn correct Vietnamese pronunciation with IPA
- Phonetic Analysis: Study Vietnamese phonetics with accurate IPA transcriptions
Languages
Vietnamese (vi
)
Dataset Structure
Data Instances
Each instance contains:
- A Vietnamese word or phrase
- Its IPA transcription with tone marks
- Path to the corresponding MP3 audio file
Data Fields
file_name
(Audio): Audio file path that will be automatically loaded by Hugging Face Datasetsword
(string): Vietnamese word or phraseipa
(string): IPA transcription with tone marks
Data Splits
The dataset contains a single training split with 50 examples.
Dataset Creation
Curation Rationale
This dataset was created to provide a simple, accessible resource for Vietnamese pronunciation with accurate IPA transcriptions and audio, addressing the lack of small-scale Vietnamese phonetic datasets.
Source Data
Initial Data Collection
Words were selected from common Vietnamese vocabulary including:
- Greetings and basic phrases
- Family terms
- Numbers
- Time expressions
- Common nouns and verbs
Annotations
Annotation Process
IPA transcriptions were created following standard Vietnamese phonetic conventions, including tone marks:
- ˧˧ (33): Level tone (ngang)
- ˨˩ (21): Falling tone (huyền)
- ˧˩ˀ (32ˀ): Falling-rising tone (hỏi)
- ˧˥ (35): Rising tone (sắc)
- ˧˩˧ (313): Broken tone (ngã)
- ˨˩ˀ (21ˀ): Drop tone (nặng)
Audio files were generated using Google Text-to-Speech (gTTS) for consistency.
Usage
Quick Start
from datasets import load_dataset
# Load the dataset from Hugging Face Hub
dataset = load_dataset("undertheseanlp/uts2025_vietipa")
# Access the data
for example in dataset['train']:
word = example['word']
ipa = example['ipa']
audio = example['file_name'] # Audio object with array, path, and sampling_rate
print(f"{word}: {ipa}")
print(f"Audio path: {audio['path']}")
print(f"Audio sampling rate: {audio['sampling_rate']} Hz")
Audio Processing Example
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("undertheseanlp/uts2025_vietipa")
# Process audio data
for example in dataset['train'].select(range(3)): # First 3 examples
word = example['word']
ipa = example['ipa']
audio = example['file_name']
print(f"Word: {word}")
print(f"IPA: {ipa}")
print(f"Audio shape: {audio['array'].shape}")
print(f"Sampling rate: {audio['sampling_rate']} Hz")
print("-" * 40)
Local Development
This project uses uv
for dependency management:
# Install dependencies
uv sync
# Generate audio files
uv run python generate_audio.py generate
# Display dataset
uv run python generate_audio.py display
# Add new word
uv run python generate_audio.py add "xin lỗi" "sin˧˧ loj˧˩"
# Interactive example
uv run python example_usage.py
Example Data
Sample JSONL Records
{"file_name": "audio/xin_chao.mp3", "word": "xin chào", "ipa": "sin˧˧ caːw˨˩"}
{"file_name": "audio/cam_on.mp3", "word": "cảm ơn", "ipa": "kaːm˧˩ ʔəːn˧˧"}
{"file_name": "audio/viet_nam.mp3", "word": "Việt Nam", "ipa": "viət˧˩ˀ naːm˧˧"}
{"file_name": "audio/nuoc.mp3", "word": "nước", "ipa": "nɨək˧˥"}
{"file_name": "audio/yeu.mp3", "word": "yêu", "ipa": "iəw˧˧"}
Data Table View
Audio File | Word | IPA |
---|---|---|
audio/xin_chao.mp3 | xin chào | sin˧˧ caːw˨˩ |
audio/cam_on.mp3 | cảm ơn | kaːm˧˩ ʔəːn˧˧ |
audio/viet_nam.mp3 | Việt Nam | viət˧˩ˀ naːm˧˧ |
audio/nuoc.mp3 | nước | nɨək˧˥ |
audio/yeu.mp3 | yêu | iəw˧˧ |
Considerations for Using the Data
Social Impact
This dataset promotes Vietnamese language learning and preservation through accurate phonetic representations.
Limitations
- Limited to 50 common words (suitable for basic applications)
- Audio generated via TTS, not native speaker recordings
- IPA transcriptions follow Northern Vietnamese dialect
- May not capture all regional pronunciation variations
Recommendations
- For production systems, consider native speaker recordings
- Expand vocabulary for comprehensive coverage
- Add regional dialect variations if needed
Additional Information
Dataset Curators
Created for educational and research purposes in Vietnamese phonetics and pronunciation.
IPA Package
Tipa package for LaTeX is used for IPA symbols:
- CTAN link: https://ctan.org/pkg/tipa
- Documentation: https://sg.mirrors.cicku.me/ctan/fonts/tipa/tipa/doc/tipaman.pdf
Licensing Information
This dataset is released under the Apache 2.0 License.
Citation Information
If you use this dataset, please cite:
@dataset{vietnamese_ipa_2025,
author = {Trang Phan, Vu Anh},
organization = {Underthesea NLP}
title = {Vietnamese IPA Dataset},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/undertheseanlp/uts2025_vietipa}
}
Contributions
Contributions are welcome! Please feel free to:
- Add more words with IPA transcriptions
- Improve existing IPA transcriptions
- Add native speaker recordings
- Include regional dialect variations
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