Query by Example of Speaker Audio Signals using Power Spectrum and MFCCs

Search engine is the popular term for an information retrieval (IR) system. Typically, search engine can be based on full-text indexing. Changing the presentation from the text data to multimedia data types make an information retrieval process more complex such as a retrieval of image or sounds in large databases. This paper introduces the use of language and text independent speech as input queries in a large sound database by using Speaker identification algorithm. The method consists of 2 main processing first steps, we separate vocal and non-vocal identification after that vocal be used to speaker identification for audio query by speaker voice. For the speaker identification and audio query by process, we estimate the similarity of the example signal and the samples in the queried database by calculating the Euclidian distance between the Mel frequency cepstral coefficients (MFCC) and Energy spectrum of acoustic features. The simulations show that the good performance with a sustainable computational cost and obtained the average accuracy rate more than 90%

Teaching Edith Eaton/Sui Sin Far: Multiple Approaches

This essay compares pedagogical approaches to teaching the literature of Edith Eaton in two distinct contexts: a course on Asian American Literature and a course on Asian Americans of Mixed Heritage. This is a comparison of the variant pedagogical approaches in these two different contexts

Sparse Radial Sampling LBP for Writer Identification

In this paper we present the use of Sparse Radial Sampling Local Binary Patterns, a variant of Local Binary Patterns (LBP) for text-as-texture classification. By adapting and extending the standard LBP operator to the particularities of text we get a generic text-as-texture classification scheme and apply it to writer identification. In experiments on CVL and ICDAR 2013 datasets, the proposed feature-set demonstrates State-Of-the-Art (SOA) performance. Among the SOA, the proposed method is the only one that is based on dense extraction of a single local feature descriptor. This makes it fast and applicable at the earliest stages in a DIA pipeline without the need for segmentation, binarization, or extraction of multiple features.Comment: Submitted to the 13th International Conference on Document Analysis and Recognition (ICDAR 2015

Teaching Race and Space Through Asian American and Latino Performance Poetry: I Was Born with Two Tongues Broken Speak and Sonido Ink(quieto)s Chicano, Illnoize

I Was Born with Two Tongues and Sonido (Ink)quieto, two Chicago-based spoken word and musical groups, both released CDs around the turn of the millennium: Two Tongues Broken Speak in 1999 and Sonidos Chicano, Illnoize in 2001. Both CDs centrally wrestle with issues of racial and ethnic identity: the title of the CD, Chicano, Illnoize, indicates the pronounced effort to map a Chicano identity onto Chicago, and Two Tongues title Broken Speak expresses the four main poets struggle with hyphenated Asian American identities. Yet these two groups, who share much in common from their roots in the Chicago slam and performance poetry scenes to their focus on ethnoracial identities, demonstrate dramatic divergences in their work. While Chicano, Illnoize remains rooted in, celebrates, and derives sustenance from the heart of Chicagos Chicano/a community in Pilsen, Little Village, and the south side, Broken Speaks emphasis on the US nations rending of hyphenated Asian American identities and racialized bodies expresses the fragmentation and invisibility of Chicagos Asian American communities. Both groups also borrow from African American aesthetics in their musical mixes of jazz and hip hop and their use of rap and spoken word as inflected by African American oral traditions. The heterogeneous musical and poetic forms of the two CDs allow us to trace the construction and representation of resistant Chicano/a and Asian American identities in a city historically defined by black/white binaries of race