Data · dataset · 2024
Bengali Voice Commerce Audio Dataset for Automatic Speech Recognition
Listed in Teesside University Research Data Repository
This meticulously curated dataset presents a comprehensive collection of Bengali speech recordings meticulously compiled for the advancement of voice-enabled commerce applications.
Description
Consisting of 3344 high-quality audio samples, this dataset encapsulates diverse voice recordings articulating product names and quantities commonly encountered in retail and e-commerce settings. Each recording, encompassing a spectrum of environmental conditions ranging from bustling locales to controlled studio settings, offers a rich repository for developing and enhancing Automatic Speech Recognition (ASR) systems.
Alongside the audio files, meticulously annotated Bengali and English transcripts stored in a CSV format accompany each recording, ensuring comprehensive linguistic documentation. Featuring contributions from 80 native Bengali speakers, including a balanced representation of 45 male and 35 female speakers, this dataset facilitates robust research in Bengali ASR, fostering innovation in voice commerce technology and inclusive digital interactions.
Read the rest (1 more)
Researchers and practitioners in machine learning, natural language processing, and human-computer interaction can leverage this dataset to propel advancements in voice-driven applications and accessibility initiatives.
Links
Where it is published
- DOI doi.org/10.17632/swbxvhc44c.3 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science · Speech recognition
- Inferred from text
- Audio 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/swbxvhc44c.3 | 4 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:460212 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Speech Recognition'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:audio | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |