File size: 4,285 Bytes
3f93f6d c20d18f 3f93f6d 7ec21fc 3f93f6d 0ee3513 3f93f6d eea4247 0842f02 eea4247 3f93f6d 10d1d4f 3f93f6d c0952fe 10d1d4f eea4247 ca3761a 493880d ca3761a 493880d ca3761a 6ce25e4 ca3761a 493880d ca3761a 493880d ca3761a fce0f0d ca3761a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 |
---
dataset_info:
- config_name: audiobooks
features:
- name: audio
dtype: audio
- name: text
dtype: string
- name: duration
dtype: float64
- name: id
dtype: string
- name: title
dtype: string
- name: lang
dtype: string
splits:
- name: train
- config_name: audiobooks_rus_translations
features:
- name: audio
dtype: audio
- name: text
dtype: string
- name: duration
dtype: float64
- name: id
dtype: string
- name: rus_title
dtype: string
- name: title
dtype: string
- name: lang
dtype: string
splits:
- name: train
configs:
- config_name: audiobooks
data_files:
- split: train
path: train*.parquet
- config_name: audiobooks_rus_translations
data_files:
- split: train
path: rus_train*.parquet
language:
- tt
- cv
- udm
- mdf
- myv
- mhr
- ru
pretty_name: 'Volga Fairytales TTS '
task_categories:
- text-to-speech
- automatic-speech-recognition
- audio-to-audio
tags:
- audio
- tts
- speech
- speech-to-speech
- translation
size_categories:
- 1K<n<10K
---
# Volga Fairytales TTS Dataset
## Dataset Summary
Volga Fairytales TTS is a speech dataset containing audio recordings of traditional fairytales in several languages of the Volga region.
The original recordings were sourced from [this site](https://xn--80aemcfjckzbis8msb.xn--p1ai/library).
The dataset comprises recordings of fairytale texts read by professional actors. The dataset is intended for text-to-speech (TTS) research and development in Turkic and other regional languages including Tatar, Chuvash, Mari, Udmurt, Erzya and Moksha. The dataset also includes Russian translations/recordings, but they are not aligned on a sentence level.
## Dataset Structure
**Parts:**
The dataset contains two main configurations:
- `audiobooks`: Contains the original fairytale recordings in their native languages.
- `audiobooks_rus_translations`: Contains the recordings of Russian translations for original fairytales.
**Data Fields:**
- `audio`: The audio file containing the spoken fairytale segment.
- `text`: The corresponding transcription.
- `duration`: The duration of the audio segment in seconds.
- `id`: A unique identifier for each segment.
- `title`: The title of the fairytale.
- `lang`: The language code of the recording (e.g., "tat" for Tatar).
- `rus_title`: (Only in audiobooks_rus_translations) The Russian title of the fairytale.
## Data Processing
**Text Processing:**
- All the text was splited, using razdel library.
**Audio Processing:**
- All audio was aligned to the text as each word had timestamps.
**Technical Details:**
| | |
|-----------------------|------------------------------------|
| Dataset Type | speech corpus for TTS |
| Language | Tatar, Chuvash, Meadow–Eastern Mari, Udmurt, Erzya, Moksha, Russian |
| Speech Style | scripted monologue |
| Content | fairytales |
| Audio Parameters | 22.05 kHz, 32 bits, mono |
| File Format | WAV (PCM) TXT (UTF-8) |
| Recording Environment | quiet indoor environment + background music |
**Durations:**
| Language | Duration | Utterances |
|-----------------------|------------------------------------|------------------------------------|
| Tatar |0.74 hours | 355 |
| Chuvash | 0.82 hours |425 |
| Meadow–Eastern Mari | 0.57 hours |384 |
| Udmurt | 0.23 hours |147 |
| Erzya | 0.20 hours |146 |
| Moksha | 0.36 hours |164 |
| Russian | 2.46 hours |1464 |
## Usage Considerations
- The dataset includes a variety of fairytales that showcase cultural and linguistic aspects of the Volga region.
- The dataset is suitable for training text-to-speech systems, automatic speech recognition, and speech-to-speech translation systems.
- Researchers should be aware of potential variations in speaking styles and background audio conditions. |