Browsing by Subject "Automatic speech recognition."

Now showing items 1-5 of 5

    • Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning 

      Hossain, Prommy Sultana (Brac University, 2022-03)
      Since 1970, researchers have been attempting to recognize and comprehend spontaneous speech. For an automatic voice recognition system, many techniques were employed. People always choose English for voice recognition ...

    • Computational analysis and detection of Bengali communal violent speech 

      Khondoker, Abdullah; Taufik, Enam Ahmed; Tashik, Md. Iftekhar Islam; Mahmud, S M Ishtiak (Brac University, 2024-06)
      Communal violence is intensified by the widespread use of cyber hate, leading to aggression and increased conflicts among different religious, ethnic, and social groups, creating a barrier to social harmony. This research ...

    • Identifying code-mixed and code-switched hateful remarks on social media using NLP 

      Sinha, Sumaiya; Nawar, Naharin Siddiqui; Khan, Md. Abrar Faiaz (Brac University, 2024-05)
      Online bullying has prevailed for years in the vast cesspool that is commonly known as the online social media. Increasing use of social media and online communication has led to a rise in cyberbullying– which is often ...

    • Novel approach to detect hate speech and profanity on online platforms 

      Pritha, Barha Meherun; Islam, Samin; Alam, Tabassum (Brac University, 2021-09)
      Hate speech is becoming more prominent and dominant in the virtual world, with the popularity of social media increasing day by day. People nowadays have various online platforms where they can express their hatred and ...

    • Voice impersonation detection using LSTM based RNN and explainable AI 

      Barua, Kawshik; Rahim, Abdur; Parizat, Prantozit Saha; Noor, Md.Asad Uzzaman; Jannah, Miftahul (Brac University, 2021-10)
      The advancing eld of arti cial synthetic media introduced deepfakes which made it easier to synthesize a person's voice, identical to their original voice mechanically to use it for negative means. People's voices are ...