Sentence examples for sound frames from inspiring English sources

Since different sound files have different sound lengths, resulting in different frame numbers, some simple ensemble learning algorithms, such as majority voting and weighted voting [8], can be used in the second-stage ensemble learning in our framework to fuse the decisions of all multiple sound frames from the first stage to generate the final classification decision for the current sound event.

Fine art, music, technology and sustainable design come together in Rebecca Paul and Mikal Hameed's upcycled sound frames.

Made out of found wood, reclaimed vintage frames and remnant pieces of fabric, the artistic duo's stunning upcycled sound frames connect easily with smart devices to offer easy control.

Timbre features were extracted from the Mel Frequency Cepstral Coefficients (MFCC) [14] and the Short-Term Fourier Transform (FFT), which were both calculated per sound frame of 32 ms duration.

Most of the above methods are operated in the DFT domain by classifying each sound frame into speech or noise based on the complex DFT coefficients.

As shown in Fig. 1, the proposed SEC framework consists of three components: feature extraction from sound frame, B-MC-ELM-AE, and TsEL.

The multi-channel bilinear features from one sound frame are more robust and effective than the original single-column ELM features, which can be used for classification of the current frame.

Most of voice activity detection (VAD) schemes are operated in the discrete Fourier transform (DFT) domain by classifying each sound frame into speech or noise based on the DFT coefficients.

Fig. 1 Flowchart of the proposed B-MC-ELM-AE-TsEL-based feature learning and classification framework for SEC, which consists of three components: feature extraction for sound frame, B-MC-ELM-AE, and TsEL.

Therefore, we propose the multi-column ELM-AE algorithm, which performs multiple ELM-AEs with different numbers of the hidden nodes on the same sound frame to generate diverse classification results.

Specifically, as shown in Fig. 1, the first-stage ensemble learning is implemented on the base ELM classifiers of the multi-channel bilinear features generated from B-MC-ELM-AE for each sound frame, and the second-stage ensemble learning is conducted on all the decisions of all frames to provide final SEC.