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  2. Snack Sound Toolkit - Wikipedia

    en.wikipedia.org/wiki/Snack_Sound_Toolkit

    The Snack Sound Toolkit is a cross-platform library written by Kåre Sjölander of the Swedish Royal Technical University (KTH) with bindings for the scripting languages Tcl, Python, and Ruby. It provides audio I/O, audio analysis and processing functions, such as spectral analysis, pitch tracking, and filtering, and related graphics functions ...

  3. List of speech recognition software - Wikipedia

    en.wikipedia.org/wiki/List_of_speech_recognition...

    Tazti – Create speech command profiles to play PC games and control applications – programs. Create speech commands to open files, folders, webpages, applications. Windows 7, Windows 8 and Windows 8.1 versions. [5] Voice Finger – software that improves the Windows speech recognition system by adding several extensions to it. The software ...

  4. Natural Language Toolkit - Wikipedia

    en.wikipedia.org/wiki/Natural_Language_Toolkit

    Parse tree generated with NLTK. The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language.

  5. List of open-source codecs - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source_codecs

    FFmpeg codecs in the libavcodec library, e.g. AC-3, AAC, ADPCM, PCM, Apple Lossless, FLAC, WMA, Vorbis, MP2, etc. FAAD2 – open-source decoder for Advanced Audio Coding. There is also FAAC, the same project's encoder, but it is proprietary (but still free of charge). libgsm – Lossy compression

  6. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.

  7. WaveNet - Wikipedia

    en.wikipedia.org/wiki/WaveNet

    WaveNet is a deep neural network for generating raw audio. It was created by researchers at London-based AI firm DeepMind.The technique, outlined in a paper in September 2016, [1] is able to generate relatively realistic-sounding human-like voices by directly modelling waveforms using a neural network method trained with recordings of real speech.

  8. Six students overdose on possibly 'tainted' cocaine batch at ...

    www.aol.com/six-students-overdose-possibly...

    Multiple college students in Colorado were taken to a hospital overnight after overdosing at a fraternity house due to a "possibly tainted batch of cocaine," police said.

  9. HTML audio - Wikipedia

    en.wikipedia.org/wiki/HTML_audio

    The HTML Speech Incubator group has proposed the implementation of audio-speech technology in browsers in the form of uniform, cross-platform APIs. The API contains both: [35] Speech Input API; Text to Speech API; Google integrated this feature into Google Chrome in March 2011. [36] Letting its users search the web with their voice with code like: