In stock OTS Japanese speech dataset · ja

Japanese speech dataset, roughly 500 hours ready to license

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

  • ISO 27001 certified
  • SOC 2 report under NDA
  • GDPR DPAs and HIPAA BAAs on request
The short answer

What's in the Japanese speech dataset?

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

Japan is one of the largest markets for voice assistants, in-car voice and call center automation, with users who expect natural, polite speech. Japanese mixes three scripts and no spaces, so it needs transcripts made for Japanese.

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? Japanese speakers from our 30,000+ network record new speech to your brief, and our Japanese data page covers what we collect to order.

Japanese speech dataset at a glance

Hours
Roughly 500 hours, already recorded
Language
Japanese (日本語), ja
Content
Speech, prompts and conversations
Consent
Every speaker consented to commercial AI training
Speakers
Japanese 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
Japanese 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.
Formats and metadata

What comes with every Japanese recording

What you get with each Japanese recording, and how it was made. The spec sheet adds the numbers for your order.

Formats, recording conditions and metadata in the IndecalAI Japanese speech dataset
DetailIn the Japanese dataset
Speech typesA mix of scripted prompts and natural conversations
Recording devicesMobile phones, laptops and studio microphones
EnvironmentsQuiet rooms and noisy, everyday settings
TranscriptsIncluded with every recording
Speaker metadataSpeaker details, such as gender and age, for each recording
Recording metadataThe device and the setting for each recording
Audio formatsWAV, OGG and other common formats
Sample ratesListed for each recording on the spec sheet
Scale

What roughly 500 hours of Japanese speech looks like

Roughly 500 hours sounds abstract until you play it: about 21 days of Japanese 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 Japanese 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.

speech energy · 3D view illustration
time →← pitch
About the language

Japanese at a glance, for speech teams

The facts that shape a Japanese speech project, from who speaks it to how it's written. Our Japanese data page covers what we collect to order.

Speakers

~126 million

people speak Japanese, about 124 million of them natively (Ethnologue, 2026).

Where it's spoken

Japan

Spoken almost entirely in Japan, with communities in Brazil, the US and elsewhere.

Script

漢字・かな Kanji and kana

A mix of kanji characters and two kana syllabaries, written without spaces between words.

Family

Japonic

A Japonic language with no close relatives outside Japan and the Ryukyu Islands.

Varieties

Standard and regional

Standard Japanese is based on Tokyo speech, while Kansai and other regional varieties differ in pitch accent and words.

Codes

ja · jpn

ISO 639-1 and ISO 639-3 codes. Locales speech APIs often use: ja-JP.

What people call it

Japanese speech dataset, voice dataset or speech corpus?

Speech dataset, voice dataset, corpus: the names overlap. Here's how they differ, and where our Japanese data sits.

Japanese speech dataset

The general term

Recorded Japanese speech with details about each recording, for training and testing speech models. The name this page uses.

Japanese 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.

Japanese audio dataset

A wider term

It can include music or background sound. Ours is speech audio: Japanese speech, prompts and conversations.

Japanese speech corpus

The research name

A structured collection of recordings and their details. Commercial datasets are corpora too, licensed instead of published.

Japanese ASR or speech-to-text dataset

Speech plus what was said

For training a model that turns Japanese audio into text. Every recording in our Japanese dataset comes with a transcript.

Japanese voice data for assistants

Polite and casual speech

Assistants hear both polite and casual Japanese. Ask which registers are in the hours you license.

About Japanese speech

What makes Japanese hard for speech recognition

Four things that catch out Japanese speech models, and what to listen for when you check a sample from anyone, us included.

English loanwords in Japanese

Japanese uses many English loanwords, said the Japanese way and written in katakana, like アプリ for app. Transcripts have to spell them consistently, so check how a sample handles them.

Three scripts and no spaces

One Japanese sentence can mix kanji, hiragana and katakana, with no spaces between words. Decide how transcripts should write each word, then check the samples match.

Accents across Japan

Tokyo, Kansai, Tohoku and Kyushu speech differ in pitch accent, words and endings. Check that the speaker mix covers the regions your users come from.

Politeness levels

Japanese changes its verbs and words with politeness, so the same request sounds very different to a customer and to a friend. A voice product needs speech in the register its users use.

Where it's used

What teams build with a Japanese speech dataset

Where ready-recorded Japanese speech tends to go. These are kinds of work, not client names.

Japanese speech recognition

Train or fine-tune a Japanese speech-to-text model, or adapt a multilingual model so it handles Japanese well.

Transcription

Voice bots and IVR

Teach a voice bot how Japanese callers actually ask for things, in the words and accents they use.

Conversational AI data

Customer service calls

Japanese speech for models that route, transcribe or summarize customer calls about accounts, orders and claims.

Japanese BFSI Call Center Speech Data

Voice in the car and at home

A Japanese base for in-car assistants and smart devices, before recording commands in the real setting.

Data collection

Support and speech analytics

Japanese conversations for models that find intent, sentiment or topics in support calls and chats.

Annotation and labeling

Testing a Japanese model

Held-back Japanese recordings your model never trained on, to measure word and character error rate before launch.

Data and model evaluation

Planning

How many hours of Japanese 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.

Rough amounts of Japanese speech for common goals, and how our Japanese data fits each
GoalRough starting pointWith our Japanese data
Test a model you already haveA few hours your model never trained onA test set cut from stock and kept out of training
Fine-tune a multilingual model, such as Whisper or wav2vec 2.0Tens to a few hundred hoursRoughly 500 hours in stock covers it
Adapt to one domain, like banking callsA smaller set that sounds like your usersStock as a base, plus a custom top-up in your domain
Train a Japanese model from scratchThousands of hoursStock as a base, plus a larger custom collection
Free or licensed

Free Japanese speech datasets or a licensed one?

Public corpora such as ReazonSpeech, the Corpus of Spontaneous Japanese (CSJ), Mozilla Common Voice and FLEURS have done a lot for Japanese 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.

Public Japanese speech corpora compared with the IndecalAI Japanese speech dataset
TopicPublic Japanese corporaOur Japanese speech dataset
LicenceSet by each corpus, and some limit redistribution or changesAgreed with you in writing, for what you're building
ConsentCovered by each project's own termsEvery speaker consented to commercial AI training
What it sounds likeWhatever the project recordedSpeech, prompts and conversations, with sample clips first
Who else trains on itAnyone who downloads itSet in the licence we agree with you
Filling gapsUp to youRecorded to your brief by the same network
SupportCommunity forumsA named contact from sample to delivery
Before you buy

How to check a Japanese speech sample

Half an hour with the Japanese clips and the spec sheet answers most questions. The list works for any vendor, not only us.

What to check in a Japanese speech sample and where to find it
CheckWhat to look forWhere to find it
AccentsSpeakers from the regions your users come fromThe speaker mix on the spec sheet, and the clips
Everyday speechThe way your users really talk, including any mixing with other languagesListen to the clips
ScriptTranscripts in the script and spelling your model should outputThe transcript format on the spec sheet
AudioA sample rate and recording setup close to your productThe sample rate on the spec sheet
NumbersAmounts, dates and phone numbers written one consistent wayTranscripts of the clips
RightsConsent that covers commercial AI training, and a licence that fitsAsk for the licence terms before you buy
How it works

From Japanese sample clips to licensed data

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

  1. 01

    Ask

    Tell us how many Japanese hours you need and what the model is for.

    You get A reply within one business day

  2. 02

    Sample and spec sheet

    We send Japanese sample clips and the spec sheet in reply.

    You get Japanese clips and the spec sheet

  3. 03

    Licence and quote

    We agree the licence terms and send a quote for the order.

    You get Written licence terms and a quote

  4. 04

    Delivery

    The licensed Japanese speech is delivered to you.

    You get Licensed Japanese speech with transcripts

  5. 05

    Fill the gaps

    Accents, devices or domains that are missing get recorded to your brief.

    You get New Japanese speech, recorded to your brief

Get Japanese sample clips Start with the sample clips, then decide.

Glossary

Japanese speech data terms

The words that come up when you buy or build Japanese speech data. The full glossary covers every data type.

Kana
The two Japanese syllabaries: hiragana for native words and grammar, katakana for loanwords and emphasis.
Pitch accent
The rise and fall in pitch inside a word, which can tell two Japanese words apart and differs by region.
Keigo
Polite and honorific Japanese, used with customers and in business, with its own verb forms.
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 Japanese, 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.
Related

More Japanese and speech data

Every language in stock is on the off-the-shelf speech datasets page. Related speech datasets: Korean, Mandarin Chinese, Cantonese and English.

OTS speech datasets

Around 35,000 hours across languages, ready to license.

Japanese data to your brief

Japanese speech, text and translation, collected to order.

Transcription

Japanese audio turned into timed text, checked by people.

Languages

100 languages, collected to order.

Data and model evaluation

Held-back Japanese speech scored against your targets.

FAQ

Questions about the Japanese speech dataset

Straight answers about licensing Japanese speech. The off-the-shelf FAQ covers questions that apply to every language.

Do you have a Japanese speech dataset ready to license?

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

What's in the Japanese speech dataset?

A mix of scripted prompts and natural conversations in Japanese, 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.

How are the Japanese transcripts written?

Ask for the transcript style on the spec sheet: how kanji, kana and loanwords are written, and whether readings are included. 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 Japanese 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 Japanese 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 Japanese samples first?

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

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

Public Japanese 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 Japanese speech dataset is roughly 500 hours.

How many hours of Japanese 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 Japanese 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 Japanese sample clips

Say roughly how many Japanese hours you need and what the model is for. We'll send sample clips and the spec sheet.

  1. Your named contact replies within one business day.
  2. We send Japanese sample clips and the spec sheet.
  3. We agree the licence terms and send a quote.
What do you need?
Email this request

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