"StutterNet: Stuttering Disfluencies Detection in Synthetic Speech Signals ..."

Muhammad Abubakar et al. (2024)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2024.3429343

access: open

type: Journal Article

metadata version: 2024-08-02

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/AbubakarMKIAA24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/AbubakarMKIAA24
Muhammad Abubakar, Muhammad Mujahid, Khadija Kanwal, Sajid Iqbal, Muhammad Nabeel Asghar, Abdullah A. Alaulamie:
StutterNet: Stuttering Disfluencies Detection in Synthetic Speech Signals via Mel Frequency Cepstral Coefficients Features Using Deep Learning. IEEE Access 12: 99308-99320 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.