Burmese speech dataset, roughly 500 hours ready to license
Our OTS Burmese speech dataset is roughly 500 hours of Burmese speech, prompts and conversations, already recorded by Burmese speakers in our 30,000+ network, with consent from every speaker for commercial AI training. License it now and train your Burmese speech recognition model without waiting on a new collection.
- ~500 h of Burmese in stock
- ~35,000 h across the OTS pool
- 100% of speakers consented
- ISO 27001 certified
- SOC 2 report under NDA
- GDPR DPAs and HIPAA BAAs on request
What's in the Burmese speech dataset?
The IndecalAI OTS Burmese speech dataset is roughly 500 hours of Burmese speech, prompts and conversations, recorded by Burmese speakers in our network who all consented to commercial AI training. It's already recorded, so you can license it now instead of waiting on a new collection.
Burmese speech data is among the scarcest of any large language, so every licensed hour goes a long way. Tones and no spaces between words are why it needs data made for Burmese.
Every recording comes with a transcript and metadata about the speaker, the device and the setting, and you can take it as WAV, OGG or another common format. Every order starts with sample clips and a spec sheet, so you can match the data against your model before you agree a licence.
Need more than what's in stock? Burmese speakers from our 30,000+ network record new speech to your brief, and our Burmese data page covers what we collect to order.
Burmese speech dataset at a glance
- Hours
- Roughly 500 hours, already recorded
- Language
- Burmese (မြန်မာဘာသာ), my
- Content
- Speech, prompts and conversations
- Consent
- Every speaker consented to commercial AI training
- Speakers
- Burmese speakers from our 30,000+ network
- Audio and transcripts
- Transcripts and metadata with every recording, in WAV, OGG and more
- Licence
- Terms agreed with each customer, in writing
- Price
- Quoted per order
- Samples
- Burmese sample clips sent in reply to your request
- Security
- ISO 27001 certified. SOC 2 report available under NDA. GDPR DPAs and HIPAA BAAs on request.
What comes with every Burmese recording
Every Burmese recording arrives with the details you need to filter, balance and test, in the audio format your pipeline already reads.
| Detail | In the Burmese dataset |
|---|---|
| Speech types | A mix of scripted prompts and natural conversations |
| Recording devices | Mobile phones, laptops and studio microphones |
| Environments | Quiet rooms and noisy, everyday settings |
| Transcripts | Included with every recording |
| Speaker metadata | Speaker details, such as gender and age, for each recording |
| Recording metadata | The device and the setting for each recording |
| Audio formats | WAV, OGG and other common formats |
| Sample rates | Listed for each recording on the spec sheet |
What roughly 500 hours of Burmese speech looks like
Roughly 500 hours sounds abstract until you play it: about 21 days of Burmese speech without a pause. That's why we send sample clips and a spec sheet first, so you can judge the whole from a part.
- ~500 hours of Burmese speech
- ~30,000 minutes
- ~1.8M seconds of audio
- ~21 days, played back to back
Hours here are recorded audio. When you compare quotes, check whether each one counts audio hours or only the parts where someone is talking.
Burmese at a glance, for speech teams
The facts that shape a Burmese speech project, from who speaks it to how it's written. Our Burmese data page covers what we collect to order.
Status
Official language
Official in Myanmar, where it's the main shared language.
Where it's spoken
Myanmar
Spoken across Myanmar, as a first language by the Bamar majority and a second language by many others.
Script
မြန်မာအက္ခရာ Burmese script
A rounded abugida written left to right, usually without spaces between words.
Family
Sino-Tibetan
A Lolo-Burmese language in the Sino-Tibetan family.
Varieties
Spoken and literary
Spoken Burmese differs from the formal literary style, and Yangon, Mandalay and other regions differ in sounds.
Codes
my · mya
ISO 639-1 and ISO 639-3 codes. Locales speech APIs often use: my-MM.
Burmese speech dataset, voice dataset or speech corpus?
Speech dataset, voice dataset, corpus: the names overlap. Here's how they differ, and where our Burmese data sits.
Burmese speech dataset
The general term
Recorded Burmese speech with details about each recording, for training and testing speech models. The name this page uses.
Burmese voice dataset
Usually the same thing
Some teams mean voice for text-to-speech or speaker recognition, which needs cleaner audio. Part of our data was recorded in a studio, so ask for those recordings.
Burmese audio dataset
A wider term
It can include music or background sound. Ours is speech audio: Burmese speech, prompts and conversations.
Burmese speech corpus
The research name
A structured collection of recordings and their details. Commercial datasets are corpora too, licensed instead of published.
Burmese ASR or speech-to-text dataset
Speech plus what was said
For training a model that turns Burmese audio into text. Every recording in our Burmese dataset comes with a transcript.
Myanmar speech dataset
Same language, other name
Burmese is often called Myanmar language. Searches for Myanmar speech data mean this dataset.
What makes Burmese hard for speech recognition
Four things that catch out Burmese speech models, and what to listen for when you check a sample from anyone, us included.
English loanwords in Burmese
Burmese speakers use English loanwords for tech and modern life, said the Burmese way and written in Burmese script. Transcripts have to spell them consistently.
No spaces between words
Burmese is written without spaces between words, and older text used a non-standard font called Zawgyi. Check that the transcripts use Unicode and one word style.
Accents across Myanmar
Yangon, Mandalay, Rakhine and Tavoyan speech carry different sounds and words. Check that the speaker mix covers the regions your users come from.
Tones and creaky voice
Burmese uses tones, including a creaky one, to tell words apart. A model needs real Burmese speech to learn them.
What teams build with a Burmese speech dataset
Where ready-recorded Burmese speech tends to go. These are kinds of work, not client names.
Burmese speech recognition
Train or fine-tune a Burmese speech-to-text model, or adapt a multilingual model so it handles Burmese well.
Voice bots and IVR
Teach a voice bot how Burmese callers actually ask for things, in the words and accents they use.
Customer service calls
Burmese speech for models that route, transcribe or summarize customer calls about accounts, orders and claims.
Voice in the car and at home
A Burmese base for in-car assistants and smart devices, before recording commands in the real setting.
Support and speech analytics
Burmese conversations for models that find intent, sentiment or topics in support calls and chats.
Testing a Burmese model
Held-back Burmese recordings your model never trained on, to measure word and character error rate before launch.
How many hours of Burmese speech do you need?
It depends on the model you start from and how close your users sound to the training data. These are rough starting points that come up often in speech work. Your own tests should decide.
| Goal | Rough starting point | With our Burmese data |
|---|---|---|
| Test a model you already have | A few hours your model never trained on | A test set cut from stock and kept out of training |
| Fine-tune a multilingual model, such as Whisper or wav2vec 2.0 | Tens to a few hundred hours | Roughly 500 hours in stock covers it |
| Adapt to one domain, like banking calls | A smaller set that sounds like your users | Stock as a base, plus a custom top-up in your domain |
| Train a Burmese model from scratch | Thousands of hours | Stock as a base, plus a larger custom collection |
Free Burmese speech datasets or a licensed one?
Public corpora such as Mozilla Common Voice, FLEURS and research Burmese speech corpora have done a lot for Burmese speech research. They cover what their creators chose to record, like read sentences, crowd recordings or broadcast speech, and each comes with its own licence and terms of use. Here's how they compare with a licensed dataset.
| Topic | Public Burmese corpora | Our Burmese speech dataset |
|---|---|---|
| Licence | Set by each corpus, and some limit redistribution or changes | Agreed with you in writing, for what you're building |
| Consent | Covered by each project's own terms | Every speaker consented to commercial AI training |
| What it sounds like | Whatever the project recorded | Speech, prompts and conversations, with sample clips first |
| Who else trains on it | Anyone who downloads it | Set in the licence we agree with you |
| Filling gaps | Up to you | Recorded to your brief by the same network |
| Support | Community forums | A named contact from sample to delivery |
How to check a Burmese speech sample
Half an hour with the Burmese clips and the spec sheet answers most questions. The list works for any vendor, not only us.
| Check | What to look for | Where to find it |
|---|---|---|
| Accents | Speakers from the regions your users come from | The speaker mix on the spec sheet, and the clips |
| Everyday speech | The way your users really talk, including any mixing with other languages | Listen to the clips |
| Script | Transcripts in the script and spelling your model should output | The transcript format on the spec sheet |
| Audio | A sample rate and recording setup close to your product | The sample rate on the spec sheet |
| Numbers | Amounts, dates and phone numbers written one consistent way | Transcripts of the clips |
| Rights | Consent that covers commercial AI training, and a licence that fits | Ask for the licence terms before you buy |
From Burmese sample clips to licensed data
Your named contact runs it from the first question to delivery.
-
01
Ask
Tell us how many Burmese hours you need and what the model is for.
You get A reply within one business day
-
02
Sample and spec sheet
We send Burmese sample clips and the spec sheet in reply.
You get Burmese clips and the spec sheet
-
03
Licence and quote
We agree the licence terms and send a quote for the order.
You get Written licence terms and a quote
-
04
Delivery
The licensed Burmese speech is delivered to you.
You get Licensed Burmese speech with transcripts
-
05
Fill the gaps
Accents, devices or domains that are missing get recorded to your brief.
You get New Burmese speech, recorded to your brief
Get Burmese sample clips Start with the sample clips, then decide.
Burmese speech data terms
The words that come up when you buy or build Burmese speech data. The full glossary covers every data type.
- Zawgyi
- An older, non-standard font encoding for Burmese, still found in some text. Unicode is the standard.
- Tone
- The pitch and voice quality of a syllable, which can change a Burmese word.
- Abugida
- A script where each consonant carries a vowel that marks change, as in Burmese.
- Speaker metadata
- Details recorded about each speaker, such as gender and age, that let you check the speaker mix against your users.
- OTS dataset
- Short for off-the-shelf dataset: data already collected and ready to license before a buyer asks for it, instead of recorded to one buyer's brief.
- Word error rate (WER)
- The share of words a speech model gets wrong against a reference transcript. Lower is better.
- Character error rate (CER)
- The same idea counted in characters, often used instead of WER for Burmese, which is written without spaces between words.
- Utterance
- One stretch of speech by one speaker, such as a single prompt read aloud or one turn in a conversation.
More Burmese and speech data
Every language in stock is on the off-the-shelf speech datasets page. Related speech datasets: Thai, Khmer and Lao.
OTS speech datasets
Around 35,000 hours across languages, ready to license.
Burmese data to your brief
Burmese speech, text and translation, collected to order.
Transcription
Burmese audio turned into timed text, checked by people.
Languages
100 languages, collected to order.
Data and model evaluation
Held-back Burmese speech scored against your targets.
Questions about the Burmese speech dataset
Straight answers about licensing Burmese speech. The off-the-shelf FAQ covers questions that apply to every language.
Do you have a Burmese speech dataset ready to license?
Yes. Roughly 500 hours of Burmese speech, prompts and conversations are already recorded and ready to license, as part of our off-the-shelf speech pool.
What's in the Burmese speech dataset?
A mix of scripted prompts and natural conversations in Burmese, recorded on mobile phones, laptops and studio microphones, in quiet and noisy settings. Every recording comes with a transcript and metadata about the speaker, the device and the setting, in WAV, OGG or another common format.
Are the Burmese transcripts in Unicode?
Ask for the transcript style on the spec sheet, including encoding and word breaks. You can check it against your pipeline before you license.
Did every speaker consent to AI training?
Yes. Every speaker gave consent for their recordings to be used for commercial AI training.
How is the Burmese dataset licensed?
Licence terms are agreed with each customer, in writing, before delivery. That includes how you can use the data and whether anyone else can license the same recordings.
How much does the Burmese speech dataset cost?
We quote each order on its own, based on the hours you need and the licence terms. Send your request and your named contact comes back with a quote.
Can we hear Burmese samples first?
Yes. Ask and we send Burmese sample clips with the spec sheet, so you can check the audio before you commit.
What if we need more than 500 hours, or a specific accent?
We collect it. Burmese speakers from our network record new speech to your brief, such as a region, an age group, a device or a domain, and it can sit alongside the hours you license from stock.
Is this the same as a Burmese voice dataset or speech corpus?
For most uses, yes. Speech dataset, voice dataset, audio dataset and speech corpus are names for the same thing: recorded Burmese speech with details about each recording. If you need studio-quality voice for text-to-speech, ask for the recordings made in a studio.
Can we use it as a Burmese speech-to-text (ASR) dataset?
Yes. Every recording comes with a transcript, so it's ready for training and testing Burmese speech-to-text models. The spec sheet shows the transcript style, so you can check it matches your pipeline before you license it.
Why not use a free Burmese speech dataset?
Public Burmese corpora are a good start for research. Each one has its own licence and terms of use, and they cover what their creators chose to record, such as read sentences or broadcast speech. Read the licence before you train a commercial model on one, and check that it sounds like your users.
What does OTS mean?
OTS stands for off-the-shelf: data that's already recorded and ready to license, instead of collected after you order. Our OTS Burmese speech dataset is roughly 500 hours.
How many hours of Burmese speech do we need?
It depends on your starting model. A test set can be a few hours, fine-tuning a multilingual model often starts at tens to a few hundred hours, and training from scratch takes thousands. Your own tests should decide.
Can we fine-tune Whisper or wav2vec 2.0 on it?
Yes. Teams commonly fine-tune open speech models like these on licensed Burmese speech, and every recording comes with a transcript in WAV, OGG or another common format. The spec sheet shows the transcript style, so you can plan any conversion before you train.
Do you work with US teams?
Yes. We take calls in US Eastern mornings, which is evening in India. We're ISO 27001 certified, our SOC 2 report is available under NDA, and we sign GDPR data processing agreements and HIPAA business associate agreements on request.
Get Burmese sample clips
Say roughly how many Burmese hours you need and what the model is for. We'll send sample clips and the spec sheet.
- Your named contact replies within one business day.
- We send Burmese sample clips and the spec sheet.
- We agree the licence terms and send a quote.
This opens your email app with the request filled in. Nothing is sent until you press send. You can also use the contact page.