A Comparative Study of Text-to-Speech Systems in LabVIEW

Pănoiu, Manuela; Rat, C L; Pânoiu, Caius

doi:10.1007/978-3-319-18296-4_1

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…MBROLA is available as a speech synthesizer with associated voice databases and takes sequences of phonemes with target durations and f0 values as input. Thus, it can be combined with other software, such as the open-source software eSpeak, to act as a complete TTS system (Panoiu, Rat, & Panoiu, 2016). In this example, eSpeak would provide spelling-to-phoneme translations and prosodic information, which MBROLA would use to generate the desired speech sounds.…”

Section: Speech Stimulimentioning

confidence: 99%

The Effects of Modulating Fundamental Frequency and Speech Rate on the Intelligibility, Communication Efficiency, and Perceived Naturalness of Synthetic Speech

Vojtech

Noordzij

Cler

et al. 2019

Am J Speech Lang Pathol

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Purpose This study investigated how modulating fundamental frequency (f0) and speech rate differentially impact the naturalness, intelligibility, and communication efficiency of synthetic speech. Method Sixteen sentences of varying prosodic content were developed via a speech synthesizer. The f0 contour and speech rate of these sentences were altered to produce 4 stimulus sets: (a) normal rate with a fixed f0 level, (b) slow rate with a fixed f0 level, (c) normal rate with prosodically natural f0 variation, and (d) normal rate with prosodically unnatural f0 variation. Sixteen listeners provided orthographic transcriptions and judgments of naturalness for these stimuli. Results Sentences with f0 variation were rated as more natural than those with a fixed f0 level. Conversely, sentences with a fixed f0 level demonstrated higher intelligibility than those with f0 variation. Speech rate did not affect the intelligibility of stimuli with a fixed f0 level. Communication efficiency was highest for sentences produced at a normal rate and a fixed f0 level. Conclusions Sentence-level f0 variation increased naturalness ratings of synthesized speech, whether the variation was prosodically natural or not. However, these f0 variations reduced intelligibility. There is evidence of a trade-off in naturalness and intelligibility of synthesized speech, which may impact future speech synthesis designs. Supplemental Material https://doi.org/10.23641/asha.8847833

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Section: Speech Stimulimentioning

confidence: 99%

The Effects of Modulating Fundamental Frequency and Speech Rate on the Intelligibility, Communication Efficiency, and Perceived Naturalness of Synthetic Speech

Vojtech

Noordzij

Cler

et al. 2019

Am J Speech Lang Pathol

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show abstract

“…Advances in Mechatronics and Machinery [7]. In addition, in the past two years, Bhaskarwar et al [8] and Manuela et al [9] applied the LabVIEW software system to solve the problem of PID control graphics monitoring and converting text into speech. The LabVIEW software takes advantages of computer's powerful computing ability and instrument's measurement and control ability to significantly reduce the cost and volume of the instrument hardware.…”

mentioning

confidence: 99%

A Portable Environmental Detection System Based on Multi-Parameter Integration and Virtual Instrument

Liu

et al. 2017

AMM

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To realize rapid detection and evaluation of environmental-related information of the outdoor environment, this paper presents a portable environmental information detection system based on multi-sensor integration, wireless communication technology and virtual instrument technology. It can realize real-time detecting and evaluating parameters of air, acoustic, water and soil. Meanwhile, it is also able to record the longitude and latitude value, map and pictures of the location that data acquired. Moreover, modular structure design is adopted in the system, so the data processing modular can be applied in other evaluation systems as an analysis tool. Also, new function modules can also be added in the system to meet the needs of more features.

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Developing a Machine Learning Algorithm for Service Robots in Industrial Applications

Kulaç

Engin

2023

Machines

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Robots, which have mostly been effective in areas such as industrial, agricultural, and production facilities, have started to take a place in the service sector, as their technologies have become lower in cost and more easily accessible. This situation has attracted the attention of companies and researchers and has accelerated studies on this subject. In this study, an algorithm was developed for the autonomous mobile robot to serve in industrial areas. In line with this study, it was ensured that the autonomous mobile robot mapped the working environment, determined the working station in this environment, and then carried out transport operations between these working stations in accordance with a given work order. After the mobile robot fulfilled the work order, it went into a waiting state until a new work order was received. For the mobile robot to save energy, it was ensured that it waited close to the point where the work order came in the most, by means of machine learning in the waiting position. The developed algorithms were designed using the NI LabVIEW environment and then simulated in the RobotinoSIM environment and physically tested using the Robotino autonomous mobile robot platform. The experimental results showed that mapping and location reporting using an RGB camera, odometry, and a QR code eliminated permanent location errors, and the robot completed 50 work orders with 100% accuracy.

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A Comparative Study of Text-to-Speech Systems in LabVIEW

Cited by 3 publications

References 6 publications

The Effects of Modulating Fundamental Frequency and Speech Rate on the Intelligibility, Communication Efficiency, and Perceived Naturalness of Synthetic Speech

The Effects of Modulating Fundamental Frequency and Speech Rate on the Intelligibility, Communication Efficiency, and Perceived Naturalness of Synthetic Speech

A Portable Environmental Detection System Based on Multi-Parameter Integration and Virtual Instrument

Developing a Machine Learning Algorithm for Service Robots in Industrial Applications

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