South Asia · Bengali

Bangla In-the-Wild Speech Dataset

Bangla in-the-wild speech sourced to your specification — no inventory, no fixed listing. This page covers what is specifically hard about this pairing, and which fields your specification needs to pin down.

Why in-the-wild speech in Bangla is its own problem

Bangla in-the-wild speech has to be collected separately by region — the natural language environments of Dhaka and Kolkata differ, and a single batch ends up with a bimodal regional distribution, on top of the differences in collection conditions between the two.

The field to pin down first: Whether bystander speech is kept or cut, and if kept, whether the bystander's regional variety is labelled — in-the-wild Bangla recordings routinely capture a second speaker from a different variety.

At a glance

LanguageBangla
Primary regionSouth Asia
Writing systemBengali
CategoryIn-the-Wild Speech
Specification field to settle firstWhether bystander speech is kept or cut, and if kept, whether the bystander's regional variety is labelled — in-the-wild Bangla recordings routinely capture a second speaker from a different variety.
DeliverySourced to order, pilot batch before the full run

What in-the-wild speech data is

Speech collected under fully natural conditions — no studio, no topic constraints — as close to real usage as collection gets.

What buyers get wrong about it

Real and usable pull against each other — the more natural the audio, the harder it is to annotate. The balance has to be designed into the collection plan, not patched in afterward.

The specification field that decides the quote

Recording device (phone, headset, professional mic) and collection environment must be logged per file.

The language side: what Bangla demands

The Bangla of Bangladesh and of West Bengal in India has diverged in vocabulary and accent — the everyday word for the same meaning is often different. In search terms and annotation alike, bangla tracks real usage better than bengali.

More on Bangla speech data →

What we can put in this delivery

  • Read and conversational speech

    Scripted recording for TTS, and unscripted conversation for recognition. Specified separately because they need different speaker pools.

  • Transcription to your convention

    Orthographic or phonetic, with the guideline written before production and shared with you for review.

  • Speaker metadata

    Age band, gender, region and dialect background per file, so you can slice the dataset rather than take it whole.

  • Consent documentation

    Signed speaker consent covering the intended use, plus collection methodology and the annotation guideline.

  • Pilot batch

    A small batch first, which you can reject. Misalignments surface after a few hours rather than at delivery.

  • Delivery in your format

    Audio format, sampling rate, segmentation length and metadata schema set to your pipeline's requirements.

What arrives in a delivery

ComponentWhat it is
Audio filesFormat, sampling rate and segmentation length set to your pipeline. Named to a convention you specify.
TranscriptionOrthographic or phonetic, produced under a guideline you review before production starts.
Speaker metadataAge band, gender, region and dialect background per file, plus a speaker identifier so the dataset can be sliced.
Recording conditionsEnvironment, device and, where relevant, measured signal-to-noise ratio per file.
Annotation guidelineThe document the annotators worked from, so you can reproduce the conventions on your own data.
Consent recordsSigned speaker consent covering your intended use, with the transfer mechanism addressed where required.
Collection methodologyHow speakers were recruited, screened and scheduled — the part that tells you how biased the pool is.
Quality reportPilot outcome, re-work log, and the annotator agreement figures where the task supports measuring them.

Questions we get about Bangla In-the-Wild Speech

How many distinct speakers can you provide for Bangla In-the-Wild Speech?

It depends on the specification and the timeline, and we will give a real number rather than a target. For this pairing, speaker recruitment is usually the step that sets the schedule. Whether bystander speech is kept or cut, and if kept, whether the bystander's regional variety is labelled — in-the-wild Bangla recordings routinely capture a second speaker from a different variety.

Can you annotate to our own guideline instead of the default?

Yes, and for this pairing we would recommend it. Bangla in-the-wild speech has to be collected separately by region — the natural language environments of Dhaka and Kolkata differ, and a single batch ends up with a bimodal regional distribution, on top of the differences in collection conditions between the two.. That is exactly the kind of decision a default guideline leaves open, and it is where annotators diverge. Send us your guideline, or we will draft one and you can review it before production starts.

Do you offer a sample before we commit to a full run?

Yes. Select a free sample in the request form and describe what you need. A pilot batch is the cheapest way to establish whether the quality bar is reachable for Bangla In-the-Wild Speech before committing to the full volume.

Is the data licensed or owned outright?

Licensing terms are set per project, so tell us how the model will be used and whether it will be distributed. Consent documentation travels with the data either way, and we do not handle medical or clinical data or recorded telephone calls.

Other datasets in Bangla

  • Bangla Voice Assistant

    Command and dialogue data for voice assistants, usually with intent annotation, covering the full chain from wake word to understanding to response.

  • Bangla Elderly Voice

    Speech data from elderly speakers, usually stratified by age band and health status, used for voice products built for older users.

  • Bangla Accented English

    English speech from non-native speakers or specific regional accents, grouped by accent origin, used to improve accent robustness in ASR.

  • Bangla Speech Translation

    Parallel data pairing source-language audio with target-language translation, used for speech-to-text and speech-to-speech translation models.

  • Bangla Call Center Speech

    Recorded customer-service calls, real or simulated, capturing both the agent and the caller side, used for call center QC, intent recognition, and dialogue systems.

  • Bangla Conversational Speech

    Speech from natural conversation between two or more people, on open or semi-structured topics, used for conversational AI, voice assistants, and small talk models.

All Bangla data →

In-the-Wild Speech in other languages

All In-the-Wild Speech data →

Request Bangla In-the-Wild Speech

Tell us the language, the hours, and what the data needs to look like. You will get a real number and a real timeline — not a range. If we cannot source it well, we will tell you that instead.

  • Pilot batch before the full run, so problems surface early.
  • Consent documentation delivered with the data.
  • No medical or clinical data. No recorded telephone calls.

We reply within two business days. Your details are used only to answer this request. See our privacy policy.

Contact

Talk to a human

Send a specification and we will come back with a real number and timeline.

Submit a sourcing request

Or email hello@linguacorpus.com