Text Independent Human Voice Ranking System for Audio Search Engines Using Wavelet Features
نویسندگان
چکیده
Performance of conventional text based audio search engines can be improved with feature based search engines. In this paper, text independent audio ranking system for audio engines with audio signal as query is proposed. Discrete Wavelet Transform (DWT) is used for feature extraction. Ranking is obtained using three different distance metrics namely Euclidean distance, Manhattan distance and Maximum distance. An efficient ranking system is identified based on the performance of the proposed technique in terms of accuracy of detection.
منابع مشابه
A New Algorithm for Voice Activity Detection Based on Wavelet Packets (RESEARCH NOTE)
Speech constitutes much of the communicated information; most other perceived audio signals do not carry nearly as much information. Indeed, much of the non-speech signals maybe classified as ‘noise’ in human communication. The process of separating conversational speech and noise is termed voice activity detection (VAD). This paper describes a new approach to VAD which is based on the Wavelet ...
متن کاملRe-ranking of Images and Removing Duplicate Images
Image re-ranking is one of the most efficient way by which you can improve the image search results and has been adopted by many search engines. Texture analysis is popular operation in CBIR. In this paper we have combined text based search along with CBIR and removing of duplicate images is done using pixel matching algorithm. Text based search is done using tags. CBIR is done using texture fe...
متن کاملDesigning Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content1
User-Generated Content (UGC) on social media platforms and product search engines is changing the way consumers shop for goods online. However, current product search engines fail to effectively leverage information created across diverse social media platforms. Moreover, current ranking algorithms in these product search engines tend to induce consumers to focus on one single product character...
متن کاملTowards Spoken-Document Retrieval for the Internet: Lattice Indexing For Large-Scale Web-Search Architectures
Large-scale web-search engines are generally designed for linear text. The linear text representation is suboptimal for audio search, where accuracy can be significantly improved if the search includes alternate recognition candidates, commonly represented as word lattices. This paper proposes a method for indexing word lattices that is suitable for large-scale web-search engines, requiring onl...
متن کاملExploration of Proximity Heuristics in Length Normalization
Ranking functions used in information retrieval are primarily used in the search engines and they are often adopted for various language processing applications. However, features used in the construction of ranking functions should be analyzed before applying it on a data set. This paper gives guidelines on construction of generalized ranking functions with applicationdependent features. The p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015