| --- |
| language: mr |
| dataset_info: |
| - config_name: barakhadi |
| features: |
| - name: base |
| dtype: string |
| - name: vowel |
| dtype: string |
| - name: mark |
| dtype: string |
| - name: result |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 9300 |
| num_examples: 300 |
| download_size: 3524 |
| dataset_size: 9300 |
| - config_name: consonants |
| features: |
| - name: token_id |
| dtype: int64 |
| - name: char |
| dtype: string |
| - name: ipa |
| dtype: string |
| - name: varg |
| dtype: string |
| - name: place |
| dtype: string |
| - name: manner |
| dtype: string |
| - name: voiced |
| dtype: bool |
| - name: aspirated |
| dtype: bool |
| - name: nasal |
| dtype: bool |
| - name: duration_ms |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 2310 |
| num_examples: 37 |
| download_size: 4602 |
| dataset_size: 2310 |
| - config_name: default |
| features: |
| - name: token_id |
| dtype: int64 |
| - name: char |
| dtype: string |
| - name: unicode |
| dtype: string |
| - name: ipa |
| dtype: string |
| - name: type |
| dtype: string |
| - name: duration_ms |
| dtype: int64 |
| - name: f0_hz |
| dtype: int64 |
| - name: f1_hz |
| dtype: int64 |
| - name: f2_hz |
| dtype: int64 |
| - name: f3_hz |
| dtype: int64 |
| - name: example_word |
| dtype: string |
| - name: script |
| dtype: string |
| splits: |
| - name: vowels |
| num_examples: 13 |
| - name: consonants |
| num_examples: 37 |
| - name: barakhadi |
| num_examples: 300 |
| - name: sandhi_rules |
| num_examples: 8 |
| - name: pitch_rules |
| num_examples: 5 |
| - name: token_map |
| num_examples: 50 |
| - name: duration_rules |
| num_examples: 50 |
| download_size: 0.05 |
| dataset_size: 0.1 |
| - config_name: duration_rules |
| features: |
| - name: token_id |
| dtype: int64 |
| - name: char |
| dtype: string |
| - name: base_duration_ms |
| dtype: int64 |
| - name: context |
| dtype: string |
| - name: duration_ms |
| dtype: int64 |
| - name: multiplier |
| dtype: float64 |
| - name: rule |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 1964 |
| num_examples: 18 |
| download_size: 3790 |
| dataset_size: 1964 |
| - config_name: pitch_rules |
| features: |
| - name: context |
| dtype: string |
| - name: pattern |
| dtype: string |
| - name: hz_start |
| dtype: int64 |
| - name: hz_peak |
| dtype: int64 |
| - name: hz_end |
| dtype: int64 |
| - name: hz_boost |
| dtype: int64 |
| - name: description |
| dtype: string |
| - name: example |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 1070 |
| num_examples: 8 |
| download_size: 4216 |
| dataset_size: 1070 |
| - config_name: pitch_rules_v2 |
| features: |
| - name: context |
| dtype: string |
| - name: pattern |
| dtype: string |
| - name: hz_start |
| dtype: int64 |
| - name: hz_peak |
| dtype: int64 |
| - name: hz_end |
| dtype: int64 |
| - name: hz_boost |
| dtype: int64 |
| - name: description |
| dtype: string |
| - name: example |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 1070 |
| num_examples: 8 |
| download_size: 4216 |
| dataset_size: 1070 |
| - config_name: sandhi_rules |
| features: |
| - name: rule_id |
| dtype: string |
| - name: type |
| dtype: string |
| - name: pattern |
| dtype: string |
| - name: input |
| dtype: string |
| - name: output |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 835 |
| num_examples: 8 |
| download_size: 2834 |
| dataset_size: 835 |
| - config_name: vowels |
| features: |
| - name: token_id |
| dtype: int64 |
| - name: char |
| dtype: string |
| - name: ipa |
| dtype: string |
| - name: type |
| dtype: string |
| - name: duration_ms |
| dtype: int64 |
| - name: f0 |
| dtype: int64 |
| - name: f1 |
| dtype: int64 |
| - name: f2 |
| dtype: int64 |
| - name: f3 |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 922 |
| num_examples: 13 |
| download_size: 4037 |
| dataset_size: 922 |
| license: apache-2.0 |
| tags: |
| - marathi |
| - phonology |
| - tts |
| - speech-synthesis |
| - vedic-neural-geometry |
| - devanagari |
| - phonetics |
| - formants |
| - acoustic |
| - linguistics |
| - indic-languages |
| - computational-phonology |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: barakhadi |
| data_files: |
| - split: train |
| path: barakhadi/train-* |
| - config_name: consonants |
| data_files: |
| - split: train |
| path: consonants/train-* |
| - config_name: duration_rules |
| data_files: |
| - split: train |
| path: duration_rules/train-* |
| - config_name: pitch_rules |
| data_files: |
| - split: train |
| path: pitch_rules/train-* |
| - config_name: pitch_rules_v2 |
| data_files: |
| - split: train |
| path: pitch_rules_v2/train-* |
| - config_name: sandhi_rules |
| data_files: |
| - split: train |
| path: sandhi_rules/train-* |
| - config_name: vowels |
| data_files: |
| - split: train |
| path: vowels/train-* |
| --- |
| |
| # मराठी व्याकरण आणि ध्वनी मॅट्रिक्स (Marathi Phonology Matrices) |
|
|
| ## 🎯 उद्देश्य |
|
|
| हा डेटासेट **मराठी भाषेच्या गणितीय ध्वनी संश्लेषणासाठी** (Mathematical Speech Synthesis) तयार केला आहे. यामध्ये मराठी वर्णमालेचे संपूर्ण फोनोलॉजिकल विश्लेषण, अकौस्टिक प्रॉपर्टीज, आणि टोकनायझेशन मॅपिंग समाविष्ट आहे. |
|
|
| ## 📊 संरचना (Structure) |
|
|
| | Split | विवरण | ओळी | |
| |-------|--------|------| |
| | `vowels` | स्वर + Formant Frequencies (F0-F3) | 13 | |
| | `consonants` | व्यंजने + Articulation Features | 37 | |
| | `barakhadi` | बाराखडी मॅट्रिक्स (C+V → CV) | 300 | |
| | `sandhi_rules` | संधि नियम (Vowel + Consonant) | 8 | |
| | `pitch_rules` | Pitch/Tone नियम | 5 | |
| | `token_map` | Token ID → Character Mapping | 50 | |
| | `duration_rules` | उच्चार काल (Acoustic Duration) | 50 | |
|
|
| ## 🔬 वैज्ञानिक पाया |
|
|
| ### Formant Frequencies |
| प्रत्येक स्वरासाठी F0 (मूल फ्रिक्वेन्सी), F1, F2, F3 (Formant) Hz मध्ये नोंदवले आहेत. हे ध्वनी संश्लेषण इंजिनमध्ये वापरता येतात. |
|
|
| ### Articulation Features |
| प्रत्येक व्यंजनासाठी — **Place** (स्थान), **Manner** (प्रयत्न), **Voiced** (नाद), **Aspirated** (महाप्राण), **Nasal** (अनुनासिक) — हे गुणधर्म Binary/Category स्वरूपात आहेत. |
|
|
| ### Token Scheme |
| | Range | वर्ग | |
| |-------|------| |
| | 0-12 | स्वर (Vowels) | |
| | 26-50 | पंचम वर्ग व्यंजने | |
| | 51-54 | अंतःस्थ (Approximants) | |
| | 55-58 | ऊष्म (Fricatives) | |
| | 59 | विशेष — ळ | |
| | 60-62 | संयुक्त (Compound) | |
|
|
| ## 🚀 वापर (Usage) |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load dataset |
| ds = load_dataset("kalpesh77/marathi-phonology-matrices") |
| |
| # स्वर माहिती |
| vowel = ds["vowels"][0] |
| print(vowel["char"]) # "अ" |
| print(vowel["f1_hz"]) # 750 |
| print(vowel["duration_ms"]) # 120 |
| |
| # व्यंजन माहिती |
| consonant = ds["consonants"][0] |
| print(consonant["char"]) # "क" |
| print(consonant["place"]) # "velar" |
| print(consonant["voiced"]) # False |
| |
| # बाराखडी शोधा |
| barakhadi = ds["barakhadi"].filter(lambda x: x["base_consonant"] == "क") |
| for row in barakhadi: |
| print(f"{row['rule']}") |
| |
| # संधि नियम |
| sandhi = ds["sandhi_rules"][0] |
| print(sandhi["example_output"]) # "देवेच्छा" |
| |
| # Token ID → Character |
| import pandas as pd |
| token_df = pd.DataFrame(ds["token_map"]) |
| print(token_df[token_df["token_id"] == 26]) |
| ``` |
|
|
| ## 🏗️ आराखडा (Pipeline) |
|
|
| ``` |
| टप्पा १: व्याकरण मॅट्रिक्स ✅ (हा डेटासेट) |
| टप्पा २: डिजिटल कोडमध्ये रूपांतर ✅ (Token Map) |
| टप्पा ३: उच्चार काल आणि ताण ✅ (Duration + Pitch) |
| टप्पा ४: गणितीय ध्वनी संश्लेषण इंजिन 🔄 (In Progress) |
| टप्पा ५: चाचणी आणि विस्तार 🔄 (In Progress) |
| ``` |
|
|
| ## 🌐 विस्तार (Future Scope) |
|
|
| - **सामवेद** (SamaVeda) — वैदिक स्वर आणि नाद |
| - **संस्कृत** (Sanskrit) — शास्त्रीय उच्चार नियम |
| - **इतर भाषा** — या मूळ संरचनेचा पुनर्वापर |
|
|
| ## 📜 लायसन्स |
|
|
| Apache-2.0 — मुक्त वापर, शेअर, आणि सुधारणा. |
|
|
| ## 👤 तयार केलेले |
|
|
| **kalpesh77** — Vedic Neural Geometry Project |
|
|
| --- |
|
|
| *"मराठी ते गणितीय ध्वनी संश्लेषण — संपूर्ण आराखडा"* |
|
|
