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The Nationwide Multi-State Licensing System and Registry (NMLS) (originally the Nationwide Mortgage Licensing System) is the system of record for non-depository, financial services licensing or registration in participating state agencies, including the District of Columbia and U.S. Territories of Puerto Rico, the U.S. Virgin Islands, and Guam.
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NMLS may refer to: Nationwide Multi-State Licensing System and Registry , a record system for licensing and registration of financial services in the United States. Norman Manley Law School , a law school in Jamaica.
Mortgage Electronic Registration Systems, Inc. (MERS) is an American privately held corporation. [1] MERS is a separate and distinct corporation that serves as a nominee on mortgages after the turn of the century and is owned by holding company MERSCORP Holdings, Inc., which owns and operates an electronic registry known as the MERS system, which is designed to track servicing rights and ...
A codec listening test is a scientific study designed to compare two or more lossy audio codecs, usually with respect to perceived fidelity or compression efficiency. Most tests take the form of a double-blind comparison. Commonly used methods are known as "ABX" or "ABC/HR" or "MUSHRA". There are various software packages available for ...
Test statistic is a quantity derived from the sample for statistical hypothesis testing. [1] A hypothesis test is typically specified in terms of a test statistic, considered as a numerical summary of a data-set that reduces the data to one value that can be used to perform the hypothesis test.
DJ Premier selecting records to sample. In sound and music, sampling is the reuse of a portion (or sample) of a sound recording in another recording. Samples may comprise elements such as rhythm, melody, speech, or sound effects. A sample might comprise only a fragment of sound, or a longer portion of music, such as a drumbeat or melody.
Audio mining is typically split into four components: audio indexing, speech processing and recognition systems, feature extraction and audio classification. [4] The audio will typically be processed by a speech recognition system in order to identify word or phoneme units that are likely to occur in the spoken content.