The future of hearing device - 聽覺領域新的機會及挑戰

The future of hearing device - 聽覺領域新的機會及挑戰

Transcript

1. The Future of
   Hearing Device
   聽覺領域新的機會及挑戰
   

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2. Imagine a world that You can't hear.
   No Education No social
   For a younger For a Elder
   lots of illnesses
   For people
   

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3. Debilitating hearing loss
   people will be grow to 10%
   on 2050
   -WHO
   But wearing rate is only
   10%
   

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4. The biggest challenge in hearing device
   Dealing with difficult
   listening situations
   with many speakers.
   - william demant
   

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5. Ａ
   B C
   C
   B
   A
   Traditional
   Mems mic
   ???
   All sound is mixed up.
   

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6. Using our voice engine, we can separate two speaker’s voice.
   我們會展⽰示下展現聲⾳音能做到最困難場景的 Demo
   Ａ
   hello ⼤大家好 5 ⽉月 21 號是 DevDays Asia
   B
   

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7. Core Technology
   Ａ
   B C
   C
   B
   A
   Traditional
   Hearing Aid
   C
   B
   A
   RelaJet Edger
   Ａ
   B C
   Separate voice within 10ms
   MCU Edge Computing & one mic
   ???
   OK!
   All sound is mixed up.
   

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8. Challenges with current technology
   Other competitors
   RelaJet pure voice
   Confidential
   Confidential
   Voice mic AI or DSP noise reduction human voice + a little Environment noise
   Voice mic speech separation pure human A voice
   voice B voice
   C voice
   focus on reducing
   Environment noise pattern
   Environment
   noise
   

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9. 10-20cm
   40%
   less listening effort
   50%
   Better speech understanding!
   

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10. Enable BLE5.0 and AI processor.
    Ultra Low power 0.5mA to 3mA
    Hearing aid / TWS / Headset
    R1898 DSP
    

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11. RelaJet PSAP/OTC solution
    AI Hearing aid
    functions
    Speech separation
    Recognize
    Filter Bands
    WDRC
    

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12. R1898 DSP Product RoadMap
    RelaJet DSP
    +
    AMP
    RelaJet DSP
    +
    TWS BT chip
    Hearing aid function
    Supported BLE or ASHA Audio Streaming
    For Hearing Aid For OTC
    Auxiliary Hearing function
    AI Noise cancellation
    keyWord Detection (Your name/ warning noise)
    

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13. Hearing aid retail
    Professional requirement
    Adjustment smarter!
    Base on
    AI Hearing / healthcare Service
    

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14. We help the world
    

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15. RelaJet Edger

    ⼈人聲分離引擎

    精確辨識語⾳音並轉⽂文字
    B
    A 客服您好
    我今天是要問關於⼿手機費
    ⼀一般語⾳音轉⽂文字模型

    無法處理理交疊的⼈人聲
    我今天是要問關於⼿手機費
    客服您好
    我今天是要？？？？機費
    ⾃自動化語⾳音分析系統可取代⼤大量量⼈人⼒力力
    延伸應⽤用：利利⽤用錄⾳音檔進⾏行行客⼾戶分析
    

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16. More Hearing, More Future.
    We help world hear better.
    

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17. www.relajet.com
    CONTACT INFO
    blue.chen@relajet.com
    bobby.lin@relajet.com
    Welcome to our booth
    

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