Results of tests on speech intelligibility in reverberant conditions

Opis

The dataset contains the results of tests that aimed to provide a relationship between the rate of speech (RoS) and reverberation conditions characterized by the Speech Transmission Index (STI).

The subject’s task was to repeat the sentence and assess the rate of speech (appropriate or too fast). The supervisor verified the correctness of the response. If the answer was incorrect, the factor of slowing down was increased by 20%. A single test consisted of 13 trials; the first three trials were designed as a pre-test to familiarize the test subject with the sounds they needed to recognize.

The sentences had a fixed structure and were grammatically correct, although they have little contextual content. Each sentence consisted of five words: name, verb, numeral, adjective, and noun. An example sentence looked like this: “Tomasz nosi pięć dobrych piłek” (Thomas carries five good balls). The individual words forming the utterances were selected at random.

The tests used six impulse responses recorded at locations with different STI values. Response No. 3 had the lowest STI value (of 0.34), while response No. 6 had the highest value (of 0.76).

A total of 15 participants took part in the listening tests (3 females, 12 males). Their ages ranged between 24 and 42 years. All participants had previous hearing tests that revealed no impairments.

Flowchart of the sentence formation process

Plik z danymi badawczymi

dataset.zip

154.4 kB, S3 ETag 2e57c3d12ba0f39914f84ef002a0e979-1, pobrań: 54

Hash pliku liczony jest ze wzoru
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} gdzie pojedyncza część pliku jest wielkości 512 MB

Przykładowy skrypt do wyliczenia:
https://github.com/antespi/s3md5

pobierz

Informacje szczegółowe o pliku

Licencja:: otwiera się w nowej karcie

CC BY

Uznanie autorstwa
Dane surowe:: Dane zawarte w datasecie nie zostały w żaden sposób przetworzone.

Informacje szczegółowe

Rok publikacji:

2021

Data zatwierdzenia:

2021-09-22

Język danych badawczych:

angielski

Dyscypliny:

informatyka techniczna i telekomunikacja (Dziedzina nauk inżynieryjno-technicznych)

DOI:

10.34808/b0yr-cm79

Weryfikacja:

Politechnika Gdańska

Słowa kluczowe

Powiązane zasoby

publikacja Acoustic Sensing Analytics Applied to Speech in Reverberation Conditions

Cytuj jako

Autorzy

wyświetlono 161 razy

Wyszukiwarka