Challenge: 1

Voice Biometry for enhanced security

Problem:

Providing voice biometry for enhanced security

Meeami Solution:

IP

Speaker ID

Technology

DNN based (MFCC feature extraction and threshold-based classification)

Benefits

Robust performance with scalable options for deployments with Siri, Alexa et all (SDK + Cloud based API)

Challenge: 2

Keyword Detection for in-car commands &Hands-free communication

Problem:

Providing utterance detection for in car commands so that greater attention is on the driving and hands-free communication

Meeami Solution:

IP

Utterance Detection and STT

Technologies

Keyword Detection and STT

Benefits

Pleasanter experience while driving with automated features.

Challenge: 3

Data Acquisition Services in Automobiles

Problem:

Providing data acquisition services using specific hardware under specific enviromental conditions.

Meeami Solution:

Service

Data Acquisition services

Benefits

Better datasets leading to better quality of AI product.

Challenge: 4

Active Noise Cancellation on racetracks

Problem:

Providing active noise cancellation for race drivers

Meeami Solution:

IP

ANC, MVNS, BVS and AEC

Technologies

MVNS – DNN based mask estimation, BVS – DNN based deep filter estimation, AEC – Soft attention for delay estimation and DNN based complex filtering

Benefits

Ensuring that drivers and pit crews have better listening experience and thus lesser listening fatigue.

Challenge: 5

Audio cleanup in Black Boxes of Cars and Aircrafts

Problem:

Providing audio clean up package for contents of black box(post every flight/necessity based)

Meeami Solution:

IP

MVNS, BVS, AEC, ANC, ASR (With Speaker Diarisation)

Technology

MVNS – DNN based mask estimation, BVS – DNN based deep filter estimation, AEC – Soft attention for delay estimation and DNN based complex filtering

Benefits

Accurate and reliable audio and transcriptions.

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