Datasets:
File size: 3,030 Bytes
0847963 707e8ca 0847963 2c3ab12 deb384d 2c3ab12 | 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 | ---
dataset_info:
features:
- name: text
dtype: string
- name: speaker_name
dtype: string
- name: audio
dtype: audio
- name: utterance_pitch_mean
dtype: float64
- name: utterance_pitch_std
dtype: float64
- name: snr
dtype: float64
- name: c50
dtype: float64
- name: speaking_rate
dtype: string
- name: phonemes
dtype: string
- name: stoi
dtype: float64
- name: si-sdr
dtype: float64
- name: pesq
dtype: float64
- name: noise
dtype: string
- name: reverberation
dtype: string
- name: speech_monotony
dtype: string
- name: sdr_noise
dtype: string
- name: pesq_speech_quality
dtype: string
- name: text_description
dtype: string
splits:
- name: train
num_bytes: 116265977338.54
num_examples: 995442
download_size: 113932801325
dataset_size: 116265977338.54
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: mit
task_categories:
- text-to-speech
language:
- ru
tags:
- audio
- russian
- speech
size_categories:
- 100K<n<1M
---
# Dataset Audio Russian Annotated
This is a dataset with Russian annotated audio data, split into train for tasks like text-to-speech, speech recognition, and speaker identification.
## Features
- **text**: Audio transcription (string).
- **speaker_name**: Speaker identifier (string).
- **audio**: Audio file.
- **utterance_pitch_mean**: The average pitch of the speech utterance (float64).
- **utterance_pitch_std**: The standard deviation of pitch, representing variability in intonation (float64)
- **snr**: Signal-to-Noise Ratio (float64).
- **c50**: Clarity index, measures how much of the speech signal energy arrives within the first 50 milliseconds (float64).
- **speaking_rate**: The speed of speech (string).
- **phonemes**: The sequence of phonemes in the utterance, typically in phonetic transcription or string form (string).
- **stoi**: Short-Time Objective Intelligibility, a metric from 0 to 1 estimating how intelligible the speech is to a listener (float64).
- **si-sdr**: Scale-Invariant Signal-to-Distortion Ratio, measures the fidelity of a separated or enhanced speech signal relative to the original, invariant to signal scale (float64).
- **pesq**: Perceptual Evaluation of Speech Quality, an objective measure of perceived audio quality (float64).
- **noise**: A description of the background noise (string).
- **reverberation**: Describes the amount or type of reverberation (string).
- **speech_monotony**: A qualitative label of monotony or expressiveness of the speech (string).
- **sdr_noise**: A textual description of signal-to-noise distortion (string).
- **pesq_speech_quality**: A qualitative interpretation of the PESQ score (string).
- **text_description**: A textual description of the speech sample (string).
## Usage
Load the dataset like this:
```python
from datasets import load_dataset
dataset = load_dataset("kijjjj/audio_data_russian_annotated", split="train")
print(dataset[0])
``` |