Datasets:

kijjjj
/

audio_data_russian_annotated

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:

from datasets import load_dataset
dataset = load_dataset("kijjjj/audio_data_russian_annotated", split="train")
print(dataset[0])