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akaturk Akademik ölçüm

Makale detayı · 2012

Recognition of Brand and Models of Cell Phones From Recorded Speech Signals

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY

YÖKSİS OpenAlex SJR Q1 JCR Q1 Atıf 83 Üst %10 Yüzdelik 96.1% FWCI 5.61
Yıl
2012
ISSN
1556-6013
Tür
article

Veri kaynağı ayrımı

  • YÖKSİS YÖKSİS makale kaydı
  • OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

İngilizce (OpenAlex)

Speech signals convey various pieces of information such as the identity of its speaker, the language spoken, and the linguistic information about the text being spoken, etc. In this paper, we extract information about the cell phones from their speech records by using mel-frequency cepstrum coefficients and identify their brands and models. Closed-set identification rates of 92.56% and 96.42% have been obtained on a set of 14 different cell phones in the experiments using vector quantization and support vector machine classifiers, respectively.

Konular

  • Music and Audio Processing
  • Speech Recognition and Synthesis
  • Speech and Audio Processing

Birincil konu Music and Audio Processing

Yazarlar

  1. CEMAL HANİLÇİ BURSA TEKNİK ÜNİVERSİTESİ
  2. FİGEN ERTAŞ
  3. TUNCAY ERTAŞ
  4. ÖMER ESKİDERE