South Asia · Bengali

Bangla Code-Switching Speech Dataset

Bangla Code-Switching Speech delivered to your specification. A catalog entry, not a stock listing. This page covers what is specifically hard about this pairing, and which fields your specification needs to pin down.

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Why Code-Switching Speech in Bangla is its own problem

Bangla code-switching runs into English, but Dhaka and Kolkata differ in both switching habits and the English words they favor. Pool them into one batch and the switching patterns show regional differences nothing in the data explains.

The field to pin down first: Whether the English words are written in Bangla script or in English spelling. Both conventions are in use in Bangla transcription, and the choice decides whether the corpus can be compared against English data.

At a glance

LanguageBangla
Primary regionSouth Asia
Writing systemBengali
CategoryCode-Switching Speech
Specification field to settle firstWhether the English words are written in Bangla script or in English spelling. Both conventions are in use in Bangla transcription, and the choice decides whether the corpus can be compared against English data.
DeliverySourced to order, pilot batch before the full run

What Code-Switching Speech data is

Speech that mixes two or more languages inside a single utterance (Hinglish, Spanglish, Taglish), used for recognition in real spoken settings.

What buyers get wrong about it

The switch point is the hard part, where language A gives way to B inside a sentence, different annotators can place it several words apart. The guideline has to be fixed before annotation starts.

The specification field that decides the quote

Whether annotation marks word-level switch points or only tags the language of the whole utterance. The workload differs by a multiple.

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

  • Collection to your specification

    Scripted or unscripted, in the language, domain and conditions your task needs. Specified separately where the variants need different contributor pools.

  • Labels to your convention

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

  • Contributor metadata

    The attributes that let you slice the set rather than take it whole. The ones your task turns on, not a fixed list.

  • Consent documentation

    Signed contributor 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

    File format, structure, segmentation and metadata schema set to your pipeline's requirements.

What arrives in a delivery

ComponentWhat it is
The data filesFormat, structure and segmentation set to your pipeline. Named to a convention you specify.
Labels or transcriptionOrthographic, phonetic or categorical, produced under a guideline you review before production starts.
Contributor metadataThe attributes that let you slice the set: age band, gender, region, dialect background, or whatever your task turns on.
Collection conditionsEnvironment, device and, where it can be measured, signal quality: recorded per file.
Annotation guidelineThe document the annotators worked from, so you can reproduce the conventions on your own data.
Consent recordsSigned contributor consent covering your intended use, plus cross-border transfer terms where they apply.
Collection methodologyHow contributors 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 Code-Switching Speech Dataset

How many distinct speakers can you provide for Bangla Code-Switching Speech Dataset?

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 the English words are written in Bangla script or in English spelling. Both conventions are in use in Bangla transcription, and the choice decides whether the corpus can be compared against English data.

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

Yes, and for this pairing we would recommend it. Bangla code-switching runs into English, but Dhaka and Kolkata differ in both switching habits and the English words they favor. 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 Code-Switching Speech Dataset 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 Accented English

    Speech

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

  • Bangla Speech Translation

    Speech

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

  • Bangla In-the-Wild Speech

    Speech

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

  • Bangla Call Center Speech

    Speech

    Customer-service calls, simulated rather than intercepted, capturing both the agent and the caller side, used for call center QC, intent recognition, and dialogue systems.

  • Bangla Conversational Speech

    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.

  • Bangla Singing Voice

    Speech

    Vocal recordings with melody, in both a cappella and accompanied form, used for singing voice synthesis, music information retrieval, and lyric alignment.

All Bangla data →

Code-Switching Speech in other languages

All Code-Switching Speech data →

Request Bangla Code-Switching Speech Dataset

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.

  1. You send the spec Language, hours, recording conditions, and the deadline.
  2. We reply within two business days A real number and a real timeline, not a range.
  3. You approve a pilot batch A small run first, so problems surface before the full order.
  4. Full run, then delivery with documents Audio, transcripts, and the consent record for every speaker.
Contact

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

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