Telugu speech dataset, roughly 500 hours ready to license
Our OTS Telugu speech dataset is roughly 500 hours of Telugu speech, prompts and conversations, already recorded by Telugu speakers in our 30,000+ network, with consent from every speaker for commercial AI training. License it now and train your Telugu speech recognition model without waiting on a new collection.
- ~500 h of Telugu 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 Telugu speech dataset?
The IndecalAI OTS Telugu speech dataset is roughly 500 hours of Telugu speech, prompts and conversations, recorded by Telugu 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.
Telugu is one of India's largest languages, with Hyderabad as a major tech hub and a big US diaspora. It's a common choice for voice products expanding beyond Hindi in India.
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? Telugu speakers from our 30,000+ network record new speech to your brief, and our Telugu data page covers what we collect to order.
Telugu speech dataset at a glance
- Hours
- Roughly 500 hours, already recorded
- Language
- Telugu (తెలుగు), te
- Content
- Speech, prompts and conversations
- Consent
- Every speaker consented to commercial AI training
- Speakers
- Telugu 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
- Telugu 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 Telugu recording
Every Telugu recording arrives with the details you need to filter, balance and test, in the audio format your pipeline already reads.
| Detail | In the Telugu 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 Telugu speech looks like
Put end to end, 500 hours of Telugu speech would play for about three weeks, day and night. Nobody listens to all of that before buying, so every order starts with sample clips and a spec sheet instead.
- ~500 hours of Telugu 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.
Telugu at a glance, for speech teams
The facts that shape a Telugu speech project, from who speaks it to how it's written. Our Telugu data page covers what we collect to order.
Speakers
~96 million
people speak Telugu as a first or second language, about 83 million of them natively (Ethnologue, 2026).
Where it's spoken
Andhra Pradesh and Telangana
The main language of Andhra Pradesh and Telangana, with a large diaspora in the US.
Script
తెలుగు లిపి Telugu script
A rounded abugida written left to right.
Family
Dravidian
A Dravidian language, related to Kannada, Tamil and Malayalam.
Varieties
Regional
Telangana, coastal Andhra and Rayalaseema Telugu differ in sounds and words.
Codes
te · tel
ISO 639-1 and ISO 639-3 codes. Locales speech APIs often use: te-IN.
Telugu speech dataset, voice dataset or speech corpus?
The same Telugu data goes by several names, depending on who's asking. Here's what each name usually means.
Telugu speech dataset
The general term
Recorded Telugu speech with details about each recording, for training and testing speech models. The name this page uses.
Telugu 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.
Telugu audio dataset
A wider term
It can include music or background sound. Ours is speech audio: Telugu speech, prompts and conversations.
Telugu speech corpus
The research name
A structured collection of recordings and their details. Commercial datasets are corpora too, licensed instead of published.
Telugu ASR or speech-to-text dataset
Speech plus what was said
For training a model that turns Telugu audio into text. Every recording in our Telugu dataset comes with a transcript.
Telugu speech recognition data
Speech plus what was said
For training a model that turns Telugu audio into text. Every recording in our Telugu dataset comes with a transcript.
What makes Telugu hard for speech recognition
Four things that catch out Telugu speech models, and what to listen for when you check a sample from anyone, us included.
English words inside Telugu sentences
Telugu speakers mix in English for banking, tech and work, sometimes whole phrases. A model trained only on formal Telugu stumbles on that, so listen for it in a sample.
Telugu script or Roman
Telugu is written in its own script, but many people type it in Latin letters. Decide which script your model should output, then check the transcripts.
Accents across Telugu speakers
Hyderabad, coastal Andhra and Rayalaseema speech carry different sounds and words. Check that the speaker mix covers the regions your users come from.
Long words built from suffixes
Telugu adds suffixes to words, so one word can carry a lot of meaning. That makes WER harsh and real speech more important.
What teams build with a Telugu speech dataset
Where ready-recorded Telugu speech tends to go. These are kinds of work, not client names.
Telugu speech recognition
Train or fine-tune a Telugu speech-to-text model, or adapt a multilingual model so it handles Telugu well.
Voice bots and IVR
Teach a voice bot how Telugu callers actually ask for things, in the words and accents they use.
Customer service calls
Telugu speech for models that route, transcribe or summarize customer calls about accounts, orders and claims.
Voice in the car and at home
A Telugu base for in-car assistants and smart devices, before recording commands in the real setting.
Support and speech analytics
Telugu conversations for models that find intent, sentiment or topics in support calls and chats.
Testing a Telugu model
Held-back Telugu recordings your model never trained on, to measure word and character error rate before launch.
How many hours of Telugu 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 Telugu 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 Telugu model from scratch | Thousands of hours | Stock as a base, plus a larger custom collection |
Free Telugu speech datasets or a licensed one?
Public corpora such as Mozilla Common Voice, IndicVoices, OpenSLR Telugu and FLEURS have done a lot for Telugu 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 Telugu corpora | Our Telugu 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 Telugu speech sample
Thirty minutes with the sample clips and the spec sheet tells you most of what you need. Use the same list on any vendor.
| 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 Telugu sample clips to licensed data
Your named contact runs it from the first question to delivery.
-
01
Ask
Tell us how many Telugu hours you need and what the model is for.
You get A reply within one business day
-
02
Sample and spec sheet
We send Telugu sample clips and the spec sheet in reply.
You get Telugu 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 Telugu speech is delivered to you.
You get Licensed Telugu speech with transcripts
-
05
Fill the gaps
Accents, devices or domains that are missing get recorded to your brief.
You get New Telugu speech, recorded to your brief
Get Telugu sample clips Start with the sample clips, then decide.
Telugu speech data terms
The words that come up when you buy or build Telugu speech data. The full glossary covers every data type.
- Abugida
- A script where each consonant carries a vowel that marks change, as in Telugu.
- Code-mixing
- Switching between languages inside one sentence, such as Telugu with English words.
- Agglutination
- Building words by adding suffixes, as Telugu does.
- 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 alongside WER, since small spelling differences can make WER look worse than the model is.
- Utterance
- One stretch of speech by one speaker, such as a single prompt read aloud or one turn in a conversation.
More Telugu and speech data
Every language in stock is on the off-the-shelf speech datasets page. Related speech datasets: Kannada, Tamil, Malayalam and Hindi.
OTS speech datasets
Around 35,000 hours across languages, ready to license.
Telugu data to your brief
Telugu speech, text and translation, collected to order.
Transcription
Telugu audio turned into timed text, checked by people.
Indian language data
Beyond Telugu, across the languages of India.
Data and model evaluation
Held-back Telugu speech scored against your targets.
Questions about the Telugu speech dataset
Straight answers about licensing Telugu speech. The off-the-shelf FAQ covers questions that apply to every language.
Do you have a Telugu speech dataset ready to license?
Yes. Roughly 500 hours of Telugu speech, prompts and conversations are already recorded and ready to license, as part of our off-the-shelf speech pool.
What's in the Telugu speech dataset?
A mix of scripted prompts and natural conversations in Telugu, 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.
Does it include Telugu-English mixed speech?
Everyday Telugu often includes English words, so ask how much mixed speech is in the hours you'd license. The sample clips let you hear it before you commit.
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 Telugu 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 Telugu 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 Telugu samples first?
Yes. Ask and we send Telugu 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. Telugu 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 Telugu 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 Telugu 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 Telugu speech-to-text (ASR) dataset?
Yes. Every recording comes with a transcript, so it's ready for training and testing Telugu 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 Telugu speech dataset?
Public Telugu 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 Telugu speech dataset is roughly 500 hours.
How many hours of Telugu 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 Telugu 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 Telugu sample clips
Say roughly how many Telugu 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 Telugu 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.