---
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])
```