Moon is Beaming O\u27er the Lake

The moon is beaming o\u27er the lake, Come sail in our light canoe;Sweet sounds of music we\u27ll awake,As we glide o\u27er the waters blue,The moon is beaming o\u27er the lake,Come sail in our light canoe;Sweet sounds of music we\u27ll awake,As we glide o\u27er the waters blue.In our light canoe,Over the rippling silver tide,While free from care,As away we merrily glide. The vesper bell is pealing,From yonder lonely tow\u27r,its tones now gently stealing, Proclaim the vesper hour,The vesper bell is pealing, From yonder lonely tow\u27rIts tunes now gently stealing, Proclaim the vesper hour.Sweet sounds arise,Like one of earth\u27s sweetest melodies,Now sad, now gay,To the tranquil skies,Like one of earth\u27s sweetest melodies

Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition

This paper presents a paradigm that adapts general large-scale pretrained models (PTMs) to speech emotion recognition task. Although PTMs shed new light on artificial general intelligence, they are constructed with general tasks in mind, and thus, their efficacy for specific tasks can be further improved. Additionally, employing PTMs in practical applications can be challenging due to their considerable size. Above limitations spawn another research direction, namely, optimizing large-scale PTMs for specific tasks to generate task-specific PTMs that are both compact and effective. In this paper, we focus on the speech emotion recognition task and propose an improved emotion-specific pretrained encoder called Vesper. Vesper is pretrained on a speech dataset based on WavLM and takes into account emotional characteristics. To enhance sensitivity to emotional information, Vesper employs an emotion-guided masking strategy to identify the regions that need masking. Subsequently, Vesper employs hierarchical and cross-layer self-supervision to improve its ability to capture acoustic and semantic representations, both of which are crucial for emotion recognition. Experimental results on the IEMOCAP, MELD, and CREMA-D datasets demonstrate that Vesper with 4 layers outperforms WavLM Base with 12 layers, and the performance of Vesper with 12 layers surpasses that of WavLM Large with 24 layers.Comment: 13 pages, 5 figures, 8 table

Commencement Program 1970

CONTENTS 4 | The Vesper Service (La Sierra Campus) 6 | The Vesper Service (Loma Linda Campus) 8 | The Sermon (La Sierra Campus) 10 | The Sermon (Loma Linda Campus) 12 | Conferring of Degrees 16 | Candidates for Degrees 33 | Awards 36 | Academic Costumehttps://scholarsrepository.llu.edu/commencement-programs/1006/thumbnail.jp

Commencement Program 1969

CONTENTS 4 | The Vesper Service (La Sierra Campus) 6 | The Vesper Service (Loma Linda Campus) 8 | The Sermon (La Sierra Campus) 10 | The Sermon (Loma Linda Campus) 12 | Conferring of Degrees 15 | Candidates for Degrees 30 | Awards 33 | Academic Costumehttps://scholarsrepository.llu.edu/commencement-programs/1004/thumbnail.jp

Is the East Catching Up?: The Development of Public Investment in East and West Germany

Expanding and modernizing the infrastructure is generally regarded as essential for East Germany to catch up with the west. The question concerning the quality and quantity of the infrastructure in East Germany played a central role in the negotiations for both Solidarity Pact I and Solidarity Pact II. However, while only very sparse information and estimates were available on the level of state fixed assets for the negotiations in spring 1993, the decisions for Solidarity Pact II in 2001 could rely on a broader data base. Estimates by DIW Berlin on state fixed assets in East and West Germany played an important part. They in turn were based on an estimated development in public investment for the years 1998 to 2004. A comparison of this with the actual development in east and west Germany shows considerable discrepancies between the forecast and the actual figures.

Commencement Program 1971

CONTENTS 4 | The Vesper Service (La Sierra Campus) 6 | The Vesper Service (Loma Linda Campus) 8 | The Sermon (La Sierra Campus) 10 | The Sermon (Loma Linda Campus) 12 | Conferring of Degrees (9 am) 14 | Conferring of Degrees (4 pm) 16 | Candidates for Degrees 35 | Awards 38 | Academic Costumehttps://scholarsrepository.llu.edu/commencement-programs/1009/thumbnail.jp