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Artificial intelligence. Music and artificial intelligence (AI) is the development of music software programs which use AI to generate music. [1] As with applications in other fields, AI in music also simulates mental tasks. A prominent feature is the capability of an AI algorithm to learn based on past data, such as in computer accompaniment ...
SoundHound AI, Inc. is a voice AI and speech recognition company founded in 2005. It develops speech recognition, natural language understanding, sound recognition and search technologies. Its featured products include a voice AI developer platform, SoundHound Chat AI, a voice-enabled digital assistant, and music recognition mobile app SoundHound.
Modular Audio Recognition Framework ( MARF) is an open-source research platform and a collection of voice, sound, speech, text and natural language processing (NLP) algorithms written in Java and arranged into a modular and extensible framework that attempts to facilitate addition of new algorithms. MARF may act as a library in applications or ...
Sound recognition is a technology, which is based on both traditional pattern recognition theories and audio signal analysis methods. Sound recognition technologies contain preliminary data processing, feature extraction and classification algorithms. Sound recognition can classify feature vectors. Feature vectors are created as a result of ...
These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high ...
Mel-frequency cepstrum. In sound processing, the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. Mel-frequency cepstral coefficients (MFCCs) are coefficients that collectively make up an MFC. [1]
Website. www.nuance.com. Dragon NaturallySpeaking (also known as Dragon for PC, or DNS) [1] is a speech recognition software package developed by Dragon Systems of Newton, Massachusetts, which was acquired in turn by Lernout & Hauspie Speech Products, Nuance Communications, and Microsoft. It runs on Windows personal computers.
An acoustic model is used in automatic speech recognition to represent the relationship between an audio signal and the phonemes or other linguistic units that make up speech. The model is learned from a set of audio recordings and their corresponding transcripts. It is created by taking audio recordings of speech, and their text transcriptions ...