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MapFan DB Guide map databases

Phoneme (for speech recognition)

Phoneme (for speech recognition), which contains nationwide data on roads, addresses, facilities, stations, and intersections, along with navigation prompts, all transcribed using phonetic notation for speech recognition.
It supports both Japanese and English and is updated 12 times a year to stay current with the latest locations.
It can be used in a wide variety of voice apps, including for improving voice search accuracy, input assistance, and training data for deep learning.

Data Details

Contains data on locations nationwide Phoneme (for speech recognition)

Contains data on locations nationwide Phoneme (for speech recognition)

  • In addition to the names and pronunciations of general facilities, railway station facilities, highway facilities, intersections, and addresses,
    This section stores partial match data to improve the accuracy of voice search.
  • Voice recognition-based spot search, route search from current location, and input assistance, etc.
    It can be used for a variety of purposes.
  • It can also be used as training data for deep learning.
    You can have it.
  • We can provide this service in both Japanese and English.
    * Simultaneous use with road map data and spot data is required.

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Expected usage

  • In the development of speech recognition systems, spot data can be used to improve the accuracy of voice searches.

  • This can be used to implement a voice-input route search function in navigation apps.

  • In marketing analysis, this can be used to analyze user behavior patterns using voice data.

FAQ

How often is the phoneme data used for speech recognition updated?

We update it 12 times a year.

What kinds of facilities and locations are included in the data?

This includes general facilities, railway stations, highways, intersections, and addresses throughout Japan.

How does using partial matching data improve the accuracy of voice search?

By utilizing partial matching data, it becomes possible to handle ambiguity, omissions, and slips of the tongue in spoken language, improving the recognition accuracy of voice search.

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