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Speech Computation—Wolfram Language Documentation

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• Functions
  • AnnotationDelete
  • AnnotationKeys
  • AnnotationValue
  • Audio
  • AudioAnnotate
  • AudioCapture
  • AudioFrequencyShift
  • AudioIntervals
  • AudioJoin
  • AudioLocalMeasurements
  • AudioLoudness
  • AudioPitchShift
  • AudioPlot
  • AudioReplace
  • AudioTimeStretch
  • AudioTrim
  • Cepstrogram
  • Classify
  • CTCLossLayer
  • ExampleData
  • FeatureExtractor
  • FeatureSpacePlot
  • FeatureSpacePlot3D
  • GatedRecurrentLayer
  • Import
  • LanguageIdentify
  • LongShortTermMemoryLayer
  • LowpassFilter
  • Nearest
  • NetEncoder
  • NetModel
  • NetTrain
  • Periodogram
  • PitchRecognize
  • ResourceData
  • ShortTimeFourier
  • SpeakerMatchQ
  • Spectrogram
  • SpeechCases
  • SpeechInterpreter
  • SpeechRecognize
  • SpeechSynthesize
  • VoiceStyleData
  • WebAudioSearch
  • WienerFilter
• Related Guides
  • Audio Processing
  • Audio Analysis
  • Signal Processing
  • Audio Representation
  • Audio Formats
• Tech Notes
  • Audio Processing
  • Audio Basics
  • Audio Synthesis
  • Neural Networks in the Wolfram Language

Speech computation consists of processing speech signals and analyzing them to infer information. Operations include changing the speaker pitch, detecting voiced intervals and recognizing the speaker or the speech.  The Wolfram Language provides built-in and fully integrated audio processing, statistical analysis, visualization and machine learning, which enables easy-to-prototype and highly efficient speech computations.

SpeechSynthesize — synthesize a speech signal from text

AudioCapture — capture a speech signal from an input device

Audio  ▪  Import  ▪  WebAudioSearch  ▪  ExampleData  ▪  ResourceData  ▪  ...

Spectrogram — plot the spectrogram of a speech signal

Cepstrogram  ▪  Periodogram  ▪  AudioPlot

SpeechRecognize — speech-to-text to convert a spoken audio signal to text

LanguageIdentify  ▪  SpeechCases  ▪  SpeechInterpreter  ▪  PitchRecognize  ▪  SpeakerMatchQ

AudioIntervals — find voiced or unvoiced intervals

AudioLoudness  ▪  AudioLocalMeasurements  ▪  ShortTimeFourier

AudioPitchShift — apply pitch shifting to a speech signal

AudioTimeStretch  ▪  AudioFrequencyShift

SpeechSynthesize — produce spoken signal from text

VoiceStyleData  ▪  $VoiceStyles

Classify — perform classification on a collection of speech signals

FeatureSpacePlot  ▪  FeatureSpacePlot3D  ▪  FeatureExtractor  ▪  Nearest  ▪  ...

NetModel — use pre-trained nets for speech analysis

NetEncoder  ▪  "Audio"  ▪  "AudioMFCC"  ▪  "AudioMelSpectrogram"  ▪  ...

NetTrain  ▪  GatedRecurrentLayer  ▪  LongShortTermMemoryLayer  ▪  CTCLossLayer  ▪  ...

AudioAnnotate — annotate an audio object with result of analysis

AnnotationKeys  ▪  AnnotationValue  ▪  AnnotationDelete

AudioTrim — extract an interesting part of a speech signal

AudioJoin  ▪  AudioReplace  ▪  LowpassFilter  ▪  WienerFilter  ▪  ...

▪
• Audio Processing
▪
• Audio Basics
▪
• Audio Synthesis
▪
• Neural Networks in the Wolfram Language

▪
• Audio Processing
▪
• Audio Analysis
▪
• Signal Processing
▪
• Audio Representation
▪
• Audio Formats

• Wolfram Core Areas: Machine Learning

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