• Aishwarya Satpute
• Neha Palande
• Kishor Jante

The technique of artificially producing lifelike-sounding audio recordings of persons saying or doing things that they never actually said or did is known as "deepfake audio," also referred to as "voice cloning." Deepfake audio can be used for a number of nefarious activities, including fraud, reputation damage, and the dissemination of false information. The process of gathering, examining, and evaluating digital evidence is known as digital inquiry. Digital investigators can identify and look into deepfake audio using a range of instruments and methods.The use of deepfake voice technology makes it difficult to distinguish between authentic and fake audio. Using cutting-edge machine learning techniques and data generated by text-tospeech (TTS), this work presents a novel method for detecting deep fake voices. The suggested approach improves detection accuracy by 26% over baseline techniques

Deepfake Audio, Digital Investigation, CNN, Voice Cloning

"Deep fake voice Detection And Extraction Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.d456-d460, December-2023, Available :http://www.jetir.org/papers/JETIR2312349.pdf

"Deep fake voice Detection And Extraction Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. ppd456-d460, December-2023, Available at : http://www.jetir.org/papers/JETIR2312349.pdf