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Implementation of Google Assistant & Amazon Alexa on Raspberry Pi

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Shailesh D. Arya, Samir Patel

Computers and Society · Submitted 15 Jun 2020

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim In this paper, we are developing a smart speaker prototype that has the functionalities of both in the same Raspberry Pi.

how it is stated · asserted 0.98 read the record →

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arXiv ID2006.08220 (version 1)
Pith IDLI2AW74I, Pith's permanent record of this paper and its review
CitationSamir Patel, Shailesh D. Arya. "Implementation of Google Assistant & Amazon Alexa on Raspberry Pi." arXiv:2006.08220 (2020). https://pith.science/paper/LI2AW74I
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,404 input tokens.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.09 · human participants 0.11 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.05 · mentions code or data availability 0.04.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

This paper investigates the implementation of voice-enabled Google Assistant and Amazon Alexa on Raspberry Pi. Virtual Assistants are being a new trend in how we interact or do computations with physical devices. A voice-enabled system essentially means a system that processes voice as an input, decodes, or understands the meaning of that input and generates an appropriate voice output. In this paper, we are developing a smart speaker prototype that has the functionalities of both in the same Raspberry Pi. Users can invoke a virtual assistant by saying the hot words and can leverage the best services of both eco-systems. This paper also explains the complex architecture of Google Assistant and Amazon Alexa and the working of both assistants as well. Later, this system can be used to control the smart home IoT devices.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 This paper investigates the implementation of voice-enabled Google Assistant and Amazon Alexa on Raspberry Pi. contribution 0.99 0.55 0.07 asserted 0.94
s1 Virtual Assistants are being a new trend in how we interact or do computations with physical devices. background 1.00 0.05 0.03 asserted 1.00
s2 A voice-enabled system essentially means a system that processes voice as an input, decodes, or understands the meaning of that input and generates an appropriate voice output. background 1.00 0.05 0.03 asserted 1.00
s3 In this paper, we are developing a smart speaker prototype that has the functionalities of both in the same Raspberry Pi. contribution 0.98 0.88 0.11 asserted 0.98
s4 Users can invoke a virtual assistant by saying the hot words and can leverage the best services of both eco-systems. contribution 0.71 0.33 0.13 asserted 0.83
s5 This paper also explains the complex architecture of Google Assistant and Amazon Alexa and the working of both assistants as well. contribution 0.66 0.36 0.06 asserted 0.99
s6 Later, this system can be used to control the smart home IoT devices. future work 0.97 0.18 0.13 hedged possibility 0.88

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from observation or experiment 0.71.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

This paper investigates the implementation of voice-enabled Google Assistant and Amazon Alexa on Raspberry Pi. Virtual Assistants are being a new trend in how we interact or do computations with physical devices. A voice-enabled system essentially means a system that processes voice as an input, decodes, or understands the meaning of that input and generates an appropriate voice output. In this paper, we are developing a smart speaker prototype that has the functionalities of both in the same Raspberry Pi. Users can invoke a virtual assistant by saying the hot words and can leverage the best services of both eco-systems. This paper also explains the complex architecture of Google Assistant and Amazon Alexa and the working of both assistants as well. Later, this system can be used to control the smart home IoT devices.

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