Home
Atlas
Insights
Docs
Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Investigation of Amazigh Speech Recognition Performance Based on G711 and GSM Codecs

Record type:

paper

Creator:

MohHasOuiKha

Publisher:

Springer International Publishing

Host:

Visit

Tasks

automatic speech recognition speech processing

Languages

Licenses

https://www.springer.com/tdm https://www.springer.com/tdm

Similar

Amazigh Speech Recognition System Based on CMUSphinxInvestigation Amazigh speech recognition using CMU toolsAmazigh speech recognition based on the Kaldi ASR toolkitComparative Study of Amazigh Speech Recognition Systems Based on Different Toolkits and ApproachesVoice pathology assessment based on automatic speech recognition using Amazigh digitsAmazigh CNN speech recognition system based on Mel spectrogram feature extraction method

Amazigh Speech Recognition System Based on CMUSphinx

Investigation Amazigh speech recognition using CMU tools

Amazigh speech recognition based on the Kaldi ASR toolkit

Comparative Study of Amazigh Speech Recognition Systems Based on Different Toolkits and Approaches

The objective of this study is to evaluate and contrast the performance of different ASR approaches

Voice pathology assessment based on automatic speech recognition using Amazigh digits

Amazigh CNN speech recognition system based on Mel spectrogram feature extraction method