# OTS Filipino Speech Dataset

> Roughly 500 hours of Filipino speech, prompts and conversations, already recorded and ready to license, with transcripts and metadata for every recording and consent from every speaker for commercial AI training.

Source: https://indecalai.com/datasets/ots/filipino-speech-dataset/
Last updated: 2026-10-27
Publisher: IndecalAI (https://indecalai.com/)

## Key facts

| | |
|---|---|
| Language | Filipino (fil) |
| Hours | Roughly 500, already recorded |
| Content | A mix of scripted prompts and natural conversations |
| Devices | Mobile phones, laptops and studio microphones |
| Environments | Quiet rooms and noisy, everyday settings |
| Transcripts | Included with every recording |
| Metadata | Speaker details (such as gender and age), device and setting for each recording |
| Formats | WAV, OGG and other common formats |
| Consent | Every speaker consented to commercial AI training |
| Licence | Agreed with each customer, in writing |
| Price | Quoted per order |
| Samples | Sample clips and a spec sheet on request |
| Contact | contact@indecalai.com, reply within one business day |

Our OTS Filipino speech dataset is roughly 500 hours of Filipino speech, prompts and conversations, already recorded by Filipino speakers in our 30,000+ network, with consent from every speaker for commercial AI training. License it now and train your Filipino speech recognition model without waiting on a new collection.

- ~500 h of Filipino in stock
- ~35,000 h across the OTS pool
- 100% of speakers consented

## What's in the Filipino speech dataset?

The IndecalAI OTS Filipino speech dataset is roughly 500 hours of Filipino speech, prompts and conversations, recorded by Filipino 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.

The Philippines is one of the world's largest hubs for call centers and customer service, and its users mix Filipino and English all the time. That mix is why Taglish speech matters more than formal Filipino.

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? Filipino speakers from our 30,000+ network record new speech to your brief, and our [Filipino data page](https://indecalai.com/datasets/languages/filipino.html) covers what we collect to order.

### Filipino speech dataset at a glance

- **Hours**: Roughly 500 hours, already recorded
- **Language**: Filipino, fil
- **Content**: Speech, prompts and conversations
- **Consent**: Every speaker consented to commercial AI training
- **Speakers**: Filipino 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**: Filipino 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 Filipino recording

Recorded on the devices and in the places your users actually speak, and delivered in the format your pipeline expects.

| Detail | In the Filipino 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 Filipino speech looks like

Put end to end, 500 hours of Filipino 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.

Hours here are recorded audio. When you compare quotes, check whether each one counts audio hours or only the parts where someone is talking.

- ~500 hours of Filipino speech
- ~30,000 minutes
- ~1.8M seconds of audio
- ~21 days, played back to back

## Filipino at a glance, for speech teams

The facts that shape a Filipino speech project, from who speaks it to how it's written. Our [Filipino data page](https://indecalai.com/datasets/languages/filipino.html) covers what we collect to order.

- **Speakers**: ~87 million. People speak Tagalog, the base of Filipino, as a first or second language, about 33 million of them natively (Ethnologue, 2026).
- **Where it's spoken**: Philippines. The national language of the Philippines, used alongside English and many regional languages.
- **Script**: Latin alphabet. Written in Latin letters. Baybayin, an older script, is used for decoration.
- **Family**: Austronesian. A standardized form of Tagalog, related to Cebuano and Ilocano.
- **Varieties**: Manila and regional. Manila Filipino sets the standard, and speakers of Cebuano, Ilocano and other languages carry their accents into it.
- **Codes**: fil · fil. ISO 639-1 and ISO 639-3 codes. Locales speech APIs often use: fil-PH.

Related languages: [Cebuano](https://indecalai.com/datasets/ots/cebuano-speech-dataset/), [Ilocano](https://indecalai.com/datasets/languages/ilocano.html), [Malay](https://indecalai.com/datasets/ots/malay-speech-dataset/) and [Indonesian](https://indecalai.com/datasets/ots/indonesian-speech-dataset/). Speaker figures are from Ethnologue (2026).

## Filipino speech dataset, voice dataset or speech corpus?

The same Filipino data goes by several names, depending on who's asking. Here's what each name usually means.

- **Filipino speech dataset**: The general term. Recorded Filipino speech with details about each recording, for training and testing speech models. The name this page uses.
- **Filipino 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.
- **Filipino audio dataset**: A wider term. It can include music or background sound. Ours is speech audio: Filipino speech, prompts and conversations.
- **Filipino speech corpus**: The research name. A structured collection of recordings and their details. Commercial datasets are corpora too, licensed instead of published.
- **Filipino ASR or speech-to-text dataset**: Speech plus what was said. For training a model that turns Filipino audio into text. Every recording in our Filipino dataset comes with a transcript.
- **Tagalog speech dataset**: Close to the same thing. Filipino is based on Tagalog, and most searches for Tagalog speech data mean this. Ask about the speaker mix.

## What makes Filipino hard for speech recognition

Where Filipino speech recognition usually goes wrong, and how to spot it in a sample before you buy.

### Taglish, English inside Filipino

Filipinos mix English and Filipino in almost every sentence, called Taglish. A model trained only on formal Filipino stumbles on that, so listen for the mix in a sample.

### English words with Filipino affixes

Filipino adds its own affixes to English words, like nag-check or i-download. Transcripts need one consistent way to write them, so check the samples.

### Accents across the Philippines

Manila, Cebu, Davao and Ilocos speakers carry different sounds into Filipino. Check that the speaker mix covers the regions your users come from.

### Polite po and opo

Filipino adds po and opo to be polite, especially to customers and elders. A voice bot has to hear and use them right.

## What teams build with a Filipino speech dataset

The projects Filipino speech data usually ends up in. They describe the work, not who it was for.

### Filipino speech recognition

Train or fine-tune a Filipino speech-to-text model, or adapt a multilingual model so it handles Filipino well. See: [Transcription](https://indecalai.com/services/transcription.html)

### Voice bots and IVR

Teach a voice bot how Filipino callers actually ask for things, in the words and accents they use. See: [Conversational AI data](https://indecalai.com/services/conversational-ai-data.html)

### Customer service calls

Filipino speech for models that route, transcribe or summarize customer calls about accounts, orders and claims. See: [Speech data](https://indecalai.com/speech-data.html)

### Voice in the car and at home

A Filipino base for in-car assistants and smart devices, before recording commands in the real setting. See: [Data collection](https://indecalai.com/services/data-collection.html)

### Support and speech analytics

Filipino conversations for models that find intent, sentiment or topics in support calls and chats. See: [Annotation and labeling](https://indecalai.com/services/data-annotation.html)

### Testing a Filipino model

Held-back Filipino recordings your model never trained on, to measure word and character error rate before launch. See: [Data and model evaluation](https://indecalai.com/services/model-evaluation.html)

## How many hours of Filipino 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 Filipino 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 Filipino model from scratch | Thousands of hours | Stock as a base, plus a larger custom collection |

## Free Filipino speech datasets or a licensed one?

Public corpora such as Mozilla Common Voice, FLEURS and research Filipino speech corpora have done a lot for Filipino 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 Filipino corpora | Our Filipino 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 Filipino 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 Filipino sample clips to licensed data

Your named contact runs it from the first question to delivery.

1. **Ask**: Tell us how many Filipino hours you need and what the model is for. You get: A reply within one business day
2. **Sample and spec sheet**: We send Filipino sample clips and the spec sheet in reply. You get: Filipino clips and the spec sheet
3. **Licence and quote**: We agree the licence terms and send a quote for the order. You get: Written licence terms and a quote
4. **Delivery**: The licensed Filipino speech is delivered to you. You get: Licensed Filipino speech with transcripts
5. **[Fill the gaps](https://indecalai.com/services/data-collection.html)**: Accents, devices or domains that are missing get recorded to your brief. You get: New Filipino speech, recorded to your brief

## Filipino speech data terms

The words that come up when you buy or build Filipino speech data. The full [glossary](https://indecalai.com/glossary.html) covers every data type.

- **Taglish**: Filipino and English mixed in the same sentence, the way most Filipinos talk.
- **Tagalog**: The language Filipino is based on, spoken natively around Manila and central Luzon.
- **Po and opo**: Words added to Filipino speech to show respect, especially to elders and customers.
- **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 Filipino and speech data

Every language in stock is on the [off-the-shelf speech datasets](https://indecalai.com/datasets/ots/) page. Related speech datasets: [Cebuano](https://indecalai.com/datasets/ots/cebuano-speech-dataset/), [Malay](https://indecalai.com/datasets/ots/malay-speech-dataset/) and [Indonesian](https://indecalai.com/datasets/ots/indonesian-speech-dataset/).

- [OTS speech datasets](https://indecalai.com/datasets/ots/): Around 35,000 hours across languages, ready to license.
- [Filipino data to your brief](https://indecalai.com/datasets/languages/filipino.html): Filipino speech, text and translation, collected to order.
- [Transcription](https://indecalai.com/services/transcription.html): Filipino audio turned into timed text, checked by people.
- [Languages](https://indecalai.com/datasets/languages.html): 100 languages, collected to order.
- [Data and model evaluation](https://indecalai.com/services/model-evaluation.html): Held-back Filipino speech scored against your targets.

### More speech datasets you may need

- [Cebuano speech dataset](https://indecalai.com/datasets/ots/cebuano-speech-dataset/)
- [Malay speech dataset](https://indecalai.com/datasets/ots/malay-speech-dataset/)
- [Indonesian speech dataset](https://indecalai.com/datasets/ots/indonesian-speech-dataset/)
- [Vietnamese speech dataset](https://indecalai.com/datasets/ots/vietnamese-speech-dataset/)
- [Thai speech dataset](https://indecalai.com/datasets/ots/thai-speech-dataset/)
- [Burmese speech dataset](https://indecalai.com/datasets/ots/burmese-speech-dataset/)
- [Khmer speech dataset](https://indecalai.com/datasets/ots/khmer-speech-dataset/)
- [Lao speech dataset](https://indecalai.com/datasets/ots/lao-speech-dataset/)

## Questions about the Filipino speech dataset

Straight answers about licensing Filipino speech. The [off-the-shelf FAQ](https://indecalai.com/datasets/ots/#faq) covers questions that apply to every language.

### Do you have a Filipino speech dataset ready to license?

Yes. Roughly 500 hours of Filipino speech, prompts and conversations are already recorded and ready to license, as part of our off-the-shelf speech pool.

### What's in the Filipino speech dataset?

A mix of scripted prompts and natural conversations in Filipino, 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 Taglish?

Most Filipinos mix English and Filipino, so ask how much Taglish 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 Filipino 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 Filipino 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 Filipino samples first?

Yes. Ask and we send Filipino 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. Filipino 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 Filipino 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 Filipino 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 Filipino speech-to-text (ASR) dataset?

Yes. Every recording comes with a transcript, so it's ready for training and testing Filipino 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 Filipino speech dataset?

Public Filipino 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 Filipino speech dataset is roughly 500 hours.

### How many hours of Filipino 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 Filipino 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.