When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. Modular Audio Recognition Framework - Wikipedia

    en.wikipedia.org/wiki/Modular_Audio_Recognition...

    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.

  3. Voice activity detection - Wikipedia

    en.wikipedia.org/wiki/Voice_activity_detection

    Voice activity detection (VAD), also known as speech activity detection or speech detection, is the detection of the presence or absence of human speech, used in speech processing. [1] The main uses of VAD are in speaker diarization , speech coding and speech recognition . [ 2 ]

  4. Retrieval-based Voice Conversion - Wikipedia

    en.wikipedia.org/wiki/Retrieval-Based_Voice...

    Retrieval-based Voice Conversion (RVC) is an open source voice conversion AI algorithm that enables realistic speech-to-speech transformations, accurately preserving the intonation and audio characteristics of the original speaker.

  5. Microsoft Speech API - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Speech_API

    The first version of SAPI was released in 1995, and was supported on Windows 95 and Windows NT 3.51.This version included low-level Direct Speech Recognition and Direct Text To Speech APIs which applications could use to directly control engines, as well as simplified 'higher-level' Voice Command and Voice Talk APIs.

  6. Code-excited linear prediction - Wikipedia

    en.wikipedia.org/wiki/Code-excited_linear_prediction

    Code-excited linear prediction (CELP) is a linear predictive speech coding algorithm originally proposed by Manfred R. Schroeder and Bishnu S. Atal in 1985. At the time, it provided significantly better quality than existing low bit-rate algorithms, such as residual-excited linear prediction (RELP) and linear predictive coding (LPC) vocoders (e.g., FS-1015).

  7. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    In 2009, the team, led by Geoffrey Hinton, had implemented generalized backpropagation and other improvements, which allowed generation of neural networks with substantially higher accuracy, for instance a 25% reduction in errors in speech recognition.

  8. Speaker recognition - Wikipedia

    en.wikipedia.org/wiki/Speaker_recognition

    Speaker recognition systems fall into two categories: text-dependent and text-independent. [10] Text-dependent recognition requires the text to be the same for both enrollment and verification. [11] In a text-dependent system, prompts can either be common across all speakers (e.g. a common pass phrase) or unique.

  9. Peripheral Interchange Program - Wikipedia

    en.wikipedia.org/wiki/Peripheral_Interchange_Program

    Besides accessing files on a floppy disk, the PIP command in CP/M could also transfer data to and from the following "special files": CON: — console (input and output) AUX: — an auxiliary device. In CP/M 1 and 2, PIP used PUN: (paper tape punch) and RDR: (paper tape reader) instead of AUX: LST: — list output device, usually the printer