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Natural Speech Recognition (NSR) is a well-established technology to recognize natural, unscripted speech92. Its success is tied to many factors, including computational power, actuators and microphone signal processing technologies. Multimodal noise reduction techniques have been developed to compensate for the loss of spectral detail, and other factors like mistuning of vocoding algorithms, these techniques have yielded a significant improvement in the quality of natural speech. However, a new generation of voice technologies, known as vocoded speech, offers the possibility of achieving better and more natural-like quality speech at lower bit rates. As “vocoded tweeters” have become more popular, a new set of subjective assessments have started to emerge. Natural-sounding, intelligible speech associated with relevant voice sensations such as breathiness, raspiness and constriction has become widely available.
Translation of text to speech (TTS) is the most widely used on-line application for people with or without a disability. It also enables the continuous correction of multiple speakers in a group, something that has not been possible up until now because the effects of speaking errors are cumulative.
A spectrogram of speech is a pictorial representation of the frequency content of a sound wave. It shows the intensity of sound energy at each frequency in the sound. A usually shows the shape of the sound wave at one point in the time, the wide portions correspond to the higher pitches, the narrow portions to lower pitches. This type of visualization is very useful for learning and appreciating the patterns in speech and for processing tonal languages.
The PAF4 plug-in and the user interface represent a fully-featured and state of the art alternative application for the complete EAI OpenFliX Suite. With the PAF4 plug-in the user fully controls the signal path between the microphone and the synthesizer and the way the sound is processed. Specifying its inputs, outputs, bypasses, gain, modulation etc. d2c66b5586