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Vietnamese
viet_1.wav
[ { "start": "00:00:00.000", "end": "00:00:03.411", "speaker": "Speaker 1", "text": "Xoáy ra luôn bài còn gì, tôi mua hai con này." }, { "start": "00:00:04.144", "end": "00:00:06.666", "speaker": "Speaker 2", "text": "Cái Ionia là gì đấy? Có xem được không?" }, { "start": "...
Vietnamese
viet_2.wav
[ { "start": "00:00:07.135", "end": "00:00:08.567", "speaker": "Speaker 1", "text": "Xí hai chim rồi" }, { "start": "00:00:08.718", "end": "00:00:10.748", "speaker": "Speaker 2", "text": "Uầy con này nó đang bán ấy" }, { "start": "00:00:10.748", "end": "00:00:11.758", ...
Vietnamese
viet_3.wav
[ { "start": "00:00:00.000", "end": "00:00:01.350", "speaker": "Speaker 1", "text": "Cho nó ra luôn?" }, { "start": "00:00:01.350", "end": "00:00:02.800", "speaker": "Speaker 2", "text": "Garen nó nuốt." }, { "start": "00:00:03.400", "end": "00:00:04.500", "speaker"...
Filipino
fil_1.wav
[ { "start": "00:00:00.000", "end": "00:00:05.150", "speaker": "Speaker 1", "text": "Anong balita sa'yo? Napansin kong madami kang post tungkol sa pagsasayaw ah?" }, { "start": "00:00:05.150", "end": "00:00:13.250", "speaker": "Speaker 2", "text": "Hi! Oo, sobrang excited ako. Nag-...
Filipino
fil_2.wav
[ { "start": "00:00:00.000", "end": "00:00:04.200", "speaker": "Speaker 1", "text": "Uy, balita ko nahihilig ka ngayon sa potograpiya ah?" }, { "start": "00:00:04.200", "end": "00:00:13.200", "speaker": "Speaker 2", "text": "Oo, sobrang excited ako sa mga kuha ko. Nag-enroll ako sa...
Filipino
fil_3.wav
[ { "start": "00:00:00.000", "end": "00:00:05.320", "speaker": "Speaker 1", "text": "Uy, gusto mo bang pag-usapan ang family planning sa Pilipinas?" }, { "start": "00:00:05.320", "end": "00:00:20.240", "speaker": "Speaker 2", "text": "Oo, gusto ko sanang malaman ang tungkol dito. M...
Arabic
ara_1.wav
[ { "start": "00:00:01.350", "end": "00:00:03.960", "speaker": "Speaker 1", "text": "عمت مساء يا صديقي." }, { "start": "00:00:03.960", "end": "00:00:07.380", "speaker": "Speaker 2", "text": "عمت مساء كيف حالك؟" }, { "start": "00:00:07.380", "end": "00:00:10.980", "s...
Arabic
ara_2.wav
[ { "start": "00:00:02.040", "end": "00:00:04.980", "speaker": "Speaker 1", "text": "السلام عليكم ورحمه الله وبركاته." }, { "start": "00:00:04.980", "end": "00:00:07.950", "speaker": "Speaker 2", "text": "وعليكم السلام." }, { "start": "00:00:07.950", "end": "00:00:11.22...
Arabic
ara_3.wav
[{"start":"00:00:03.090","end":"00:00:04.980","speaker":"Speaker 1","text":"كيف حالك يا ص(...TRUNCATED)

Dataset Overview

This dataset contains high-quality conversational audio samples curated for Automatic Speech Recognition tasks in Vietnamese and Filipino.

The dataset includes:

  • Paired audio + transcripts
  • Natural, non-scripted conversational speech
  • Dual-speaker interactions

Audio Specifications

  • Sampling Rate: 16 kHz – 24 kHz
  • Bit Depth: 16-bit
  • Audio Type: Non-scripted conversational speech
  • Format: Dual-speaker conversations

Supported Languages

Language Variant
Vietnamese Regional conversational variants
Filipino (Tagalog-based) Standard & colloquial speech
Arabic Modern Standard Arabic
The dataset includes natural accent variation and conversational code-switching where applicable.

Speaker Representation

  • Dual-speaker conversational recordings
  • Natural, spontaneous dialogue
  • Balanced gender representation (where available)

Dataset Creation Methodology

Data Collection

Speech data was collected from native speakers across multiple regions:

Vietnam

  • Urban and semi-urban communities
  • Regional dialect diversity coverage

Philippines

  • Metro and non-metro regions
  • Standard and colloquial Filipino usage

Arabic

  • Cross-regional accent variation
  • Modern Standard Arabic and spoken dialect balance

This ensured:

  • Accent diversity
  • Natural conversational flow
  • Real-world dialogue patterns

Recording Setup

  • Non-scripted, dual-speaker conversations

  • Duration: 10–30 minutes per recording

  • Topics include:

    • Business
    • Finance
    • Politics
    • Everyday life discussions
    • Social topics

Transcription Process

  • Manual transcription by native speakers

  • Reviewed for linguistic accuracy

  • Preserves:

    • Conversational fillers
    • Natural pauses
    • Code-mixed elements (if present)

Dataset Intended Purpose

Intended Uses

This dataset is designed for:

  • Training and fine-tuning Automatic Speech Recognition models
  • Conversational ASR benchmarking
  • Code-mixed speech recognition research
  • Speaker diarization research
  • Speaker turn detection and interruption modeling
  • Informal speech modeling
  • Conversational AI research
  • Academic and open-source research

Out-of-Scope Uses

This dataset is not intended for:

  • Safety-critical or real-time production systems without additional validation
  • Commercial deployment without proper attribution and compliance with CC BY 4.0
  • Medical, clinical, legal, or diagnostic applications

License

This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.


📬 Contact

For dataset-related queries, please contact:

[support@humynlabs.ai]

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