In recent years, the Automatic Speech Recognition (ASR) system for Punjabi has gained significant popularity. Over the past decade, considerable efforts have been devoted into improving Punjabi speech recognition accuracy. New methods and optimized architectures have been proposed to increase the Punjabi ASR recognition rate. Despite that, the main obstacle pointed out is the non-availability of a standardized Punjabi speech corpus. Therefore, decision regarding designing a good standardized speech corpus for the Punjabi language has been initiated to eliminate the problem related to non-availability of standardized Punjabi speech corpus. This newly designed corpus covers all the vital characteristics of a good speech corpus, is large in size, and aids to boost the Punjabi speech recognition research. The new Punjabi speech corpus comprises 119,500 utterances and 65 h of recording. In total, 180 speakers’ voices from the Malwa, Majha, Doaba, and Powadh region of Punjab, in India are recorded and considered. Both male and female speakers of ages 20–45 are involved. Annotation of recordings is performed with the help of the PRAAT toolkit after the recording part is completed.