The chance of using voice acknowledgment as a text input procedure for speakers with different levels of dysarthria is examined in this examination. Model Swedish Dragon Dictate (PSDD), a speaker-versatile phoneme-based framework, and Infovox RA, a speaker-reliant, entire word design matching framework, were the two sorts of discourse acknowledgment frameworks investigated in this exploration. People with gentle and extreme dysarthria learned 45 order phrases and in this manner used them to enter text into the PSDD autonomously. The PSDD framework adjusted successfully to the discourse of individuals with gentle and direct dysarthria, albeit the acknowledgment scores were lower than for an ordinary speaker, as indicated by the discoveries. Two people with fluctuating levels of extreme dysarthria had their discourse adjusted by the PSDD framework, however they couldn't use it autonomously. Members with dysarthria had an expansive scope of mean acknowledgment scores on the Infovox RA framework, while ordinary speakers scored very nearly 100%. With a refreshed jargon on the speaker-subordinate Infovox RA framework, the acknowledgment score for the member with extreme dysarthria improved fundamentally. The discoveries are addressed as far as factors to consider while picking a voice acknowledgment framework for speakers with different levels of dysarthria.