AIR-RS-DB: All India Radio Read and Spontaneous Speech Data Base

Citation Author(s):
Sunil Kumar
Kopparapu
TCS Research
Submitted by:
Sunil Kumar Kop...
Last updated:
Mon, 09/11/2023 - 06:41
DOI:
10.21227/ft5v-xp41
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Abstract 

AIR-RS-DB: A dataset for classifying Spontaneous and Read Speech

 

A set of 1028 audio files generated from 7 mp3 files downloaded from All India Radio. https://newsonair.gov.in/ and converted into wav  and then speaker diarized is  using https://huggingface.co/pyannote/speaker-diarization (pyannote/speaker-diarization@2022072,model) and derive 1028 audio files.

These are available as air-rs-db.zip (which can be downloaded)

 

The automatic annotation of these 1028 audio files using the technique mentioned in https://arxiv.org/abs/2306.08012v1 (A Novel Scheme to classify Read and Spontaneous Speech) is recorded in air_rs_db_auto-annotation.csv (downloadable).

This file contains 4 columns separated by ":", namely, audio:dur:Readability Score:Threshold eq 1.75.

The first column is the name of the audio file. The second column is the duration of the audio file. The third column is the readability score as defined in (equation (3) in https://arxiv.org/pdf/2306.08012v1.pdf) and the fourth column is a label "R" or "S" using the threshold \tau_{cal R} = 1.75.

Note that the annotation "R" for read speach and "S" for Spontaneous speech is automatically generated.