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Audio Retrieval Based on Milvus - Zilliz Vector database …

    https://zilliz.com/blog/audio-retrieval-based-on-milvus
    Speech, music, and other generic sounds each have unique characteristics and demand different processing methods. Typically, audio is separated into groups that contain speech and groups that do not: 1. Speech audio is processed by automatic speech recognition. 2. Non-speech audio, including musical audio, sound effects, a…

Content-based audio classification and retrieval by ...

    https://pubmed.ncbi.nlm.nih.gov/18238003/
    For audio retrieval, we propose a new metric, called distance-from-boundary (DFB). When a query audio is given, the system first finds a boundary inside which the query pattern is located. Then, all the audio patterns in the database are sorted by their distances to this boundary.

Supervised Deep Hashing for Efficient Audio Retrieval

    https://www.microsoft.com/en-us/research/uploads/prod/2019/08/43992_Supervised-Deep-Hashing-for-Efficient-Audio-Retrieval.pdf
    Audio Retrieval and Ranking Query audio Fixed dimensional embedding 8/8/2019 High-Level View Retrieved and ranked results Retrieval and ranking module Exhaustive distance computation Audio embedding database Optimize as much as possible Quantization, Hashing*

Content-Based Audio Classification and Retrieval …

    https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/content_audio_classification.pdf
    the ability to classify and retrieve the audio files in terms of their sound properties or content. Rapid increase in the amount of audio data demands for a computerized method which allows efficient and automated content-based classi-fication and retrieval of audio database. For these reasons, commercial companies developing audio retrieval products

A Brief Overview of Audio Information Retrieval

    https://ccrma.stanford.edu/~unjung/AIR/KEAMS.pdf
    Multimedia database is classified/retrieved in a manual process which is often subjective and inaccurate when describing audio. Multimedia database should be handled by the methods of “automatic” analysis, segmentation, indexing and retrieval.

Audio Retrieval based on Cepstral Feature

    https://research.ijcaonline.org/volume107/number8/pxc3900079.pdf
    audio feature is compared with the audio database feature in order retrieve the specific audio data. The first stage in this process involves extracting feature from the audio files. The features extracted from each audio file from the database are stored separately as feature database. When the query audio

Configuring audio transcript retrieval | Pega

    https://docs.pega.com/pega-customer-service-implementation-guide/87/configuring-audio-transcript-retrieval
    Configure the data flow that retrieves audio transcript data from Pega Cloud and processes the data. To ensure proper functioning of Voice AI, you configure audio transcript retrieval data flow to run on the RealTime node, with a single thread retrieving audio transcripts from the Pega server. Once you run the data flow, you can monitor the data flow status on the …

Music and Audio Retrieval Tools download | …

    https://sourceforge.net/projects/maart/
    A set of software components used to investigate and implement searching of music and audio. This covers content-based retrieval and meta-data based solutions, segmentation and content selection (summarisation) of audio and music (MIDI, MP3 and WAV).

Content-Based Audio Retrieval | SR Subramanya and …

    https://www.academia.edu/4728827/Content_Based_Audio_Retrieval
    The experimental results of retrieval from an audio database using the virtual-node algorithm show that the retrieval time is less than, and the perceptive accuracy is better than, the results from the partial-matching algorithm. The results of a restricted-format query using this generalized virtual-node algorithm do not require a ...

Features for Content-Based Audio Retrieval

    https://publik.tuwien.ac.at/files/PubDat_186351.pdf
    A content-based (audio) retrieval system consists of multiple parts, illustrated in Figure 1. There are three modules: the input module, the query module, and the retrieval module. The task of the input module is to extract features from audio objects stored in …

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