A phonetic study analyzing Voice Onset Time (VOT) in Marathi coronal and bilabial stops, using .wav
recordings from native speakers, annotated TextGrids via Praat, and speaker-wise comparisons across aspiration and voicing categories.
Voice Onset Time (VOT) is the interval between the release of a stop consonant and the onset of vocal fold vibration. This study focuses on:
- Measuring VOT in voiced and voiceless aspirated/unaspirated stops in Marathi
- Comparing differences across coronal (/t/, /d/, /ʈ/, /ɖ/) and bilabial (/p/, /b/) places of articulation
- Studying speaker-specific variation (e.g. gender-based patterns) in VOT realization
- To quantify VOT values of initial-position plosives in Marathi
- To analyze how aspiration, voicing, and place of articulation affect VOT
- To contribute empirical data for Marathi phonetics using acoustic analysis
- A curated word list of 36 Marathi words targeting 12 plosive phonemes
- 6 native Marathi speakers (3M, 3F), ages 21–52
- Recordings done in silent settings using mobile microphones
.wav
files manually annotated using Praat, marking plosive burst and voicing onset
- Praat for annotation and acoustic analysis
- Python/Excel for plotting, statistics, and visualization
Type | Voiceless | Voiced |
---|---|---|
Bilabial | /p/, /pʰ/ | /b/, /bʱ/ |
Coronal (Dental) | /t̪/, /t̪ʰ/ | /d̪/, /d̪ʱ/ |
Coronal (Retroflex) | /ʈ/, /ʈʰ/ | /ɖ/, /ɖʱ/ |
- Voiceless aspirated stops showed consistently higher VOTs than unaspirated ones
- Voiced stops demonstrated negative VOTs, aligning with expected phonetic behavior
- Some gender-based variation: female speakers showed slightly shorter VOTs in aspirated stops
- Inter-speaker variability suggests interesting individual phonetic tendencies
VOT-Analysis-of-Marathi/
├── 📂 Final Sound & Textfiles/ # Final audio & Praat TextGrid files used in analysis
├── 📂 Recordings # Processed mono-audio files
├── 📂 TextGrids # Processed TextGrid annotations
├── 📂 Audio files/
├── 📂 original recordings # Raw recordings from participants
├── 📂 wav files # Converted .wav versions of original files (unprocessed)
├── 📂 Visualizations/
│ └── distribution across stop types.jpg # Boxplot comparing voiced vs. voiceless stops
├── 📄 A Study on the VOT... # Complete project report (PDF)
├── 📄 Male vot.xlsx # Calculated VOT values for male speakers
├── 📄 Marathi Word List.pdf # Word list used for data collection
└── 📄 README.md # This file
- Praat (for viewing TextGrid annotations)
- Python 3.7+ with libraries:
pandas
,numpy
,matplotlib
,seaborn
- Audio player capable of
.wav
files
-
Clone the repository:
git clone https://github.com/AlphaPruned/VOT-Analysis-of-Marathi.git cd VOT-Analysis-of-Marathi
-
Explore the data:
- Open processed audio files from
/Final Sound & Textfiles/Recordings/
- Open corresponding TextGrids from
/Final Sound & Textfiles/TextGrids/
- View raw recordings under
/Audio files/
- Open the boxplot visualization from
/Visualizations/distribution across stop types.jpg
- Open processed audio files from
The study includes comprehensive statistical analysis of VOT measurements across:
- Voicing contrast (voiced vs. voiceless)
- Aspiration contrast (aspirated vs. unaspirated)
- Place of articulation (bilabial vs. coronal)
- Speaker demographics (gender and age effects)
(Located at /Visualizations/distribution_across_stop_types.jpg
)
This plot shows the VOT distribution of voiced vs. voiceless stops across all speakers.
- Praat documentation: https://www.fon.hum.uva.nl/praat/
- Marathi Phonology – Wikipedia
- "Voicing and Aspiration in Marathi Stops" – Ari Natarina
- "Capturing Breathy Voice in Marathi" – Kelly Harper Berkson
- Arnav Kadu – 112101022
📧 arnavkaducr7@gmail.com - Pranav Rao – 112101038
📧 pranavrao2500@gmail.com
We welcome contributions and suggestions! Please:
- Fork the repository
- Create a feature branch (
git checkout -b feature/improvement
) - Commit your changes (
git commit -am 'Add some improvement'
) - Push to the branch (
git push origin feature/improvement
) - Open a Pull Request
For questions or collaboration opportunities, please open an issue or contact the authors through GitHub.
Special thanks to Prof. Reenu Punnoose and Ms.Caterine Ann Michael for their guidance and feedback throughout the project.
We’re also deeply grateful to all the native Marathi speakers who participated in the recording sessions and helped make this phonetic study possible.