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68 lines
5.2 KiB
Plaintext
68 lines
5.2 KiB
Plaintext
Episode: 4188
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Title: HPR4188: Re: HPR4172 Comment by Ken Fallon
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Source: https://hub.hackerpublicradio.org/ccdn.php?filename=/eps/hpr4188/hpr4188.mp3
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Transcribed: 2025-10-25 21:01:25
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---
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This is Hacker Public Radio Episode 4188 for Wednesday, the 21st of August 2024.
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Today's show is entitled, Read Per Comment by Ken Fallon.
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It is part of the series' accessibility.
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It is hosted by Archer's 72, and is about 5 minutes long.
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It carries a clean flag.
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The summary is, Archer's 72 responds to Ken's comment on Pro with hopefully enough detail.
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Hello, HPR.
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This is your host, Archer 72, for another episode of Hacker Public Radio.
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My subject today is Piper Voice Enthusus, continued.
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In response to Ken's comment on my show, HPR 4172ree, HPR 4172Piper,
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HPR Voice Enthusus, I am responding to his comment with a solution.
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I'm glad that Ken commented, because I had put the problem on the back burner and forgot about it.
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Both of us had the make command for the Piper GitHub repo fail at 22%.
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I ignored it for the time being in compiled Piper for the Raspberry Pi instead.
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Now here is the comment that got me to figure out how to get Piper working on my own FIDOR 40 laptop.
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With the voice I'm using, it garbled the comments, so I will be changing voices temporarily.
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Common hash one posted on 2024-07-24, 424-27 by Ken Fallen Fails on FIDOR 40-22% linking
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C-shared library lives Bikengi. So it's sector of the errors too long to be spoken here.
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Common hash two posted on 2024-07-26, 930-817 by Archer 72ree, Colin Fails on FIDOR 40,
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I get the same failure and found that there was a release in 2023 I put the downloaded Piper
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directory and slash op along with the Piper voices slash and directory and have a successful
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voice output. And of comments and further conversations with Ken, I found that a vital part of Piper
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voice synthesis had been forgotten. For example, if you were using Piper to convert a text
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file to .wav, the command need to include the following, input.txt Piper executable location.
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For example, slash op slash Piper slash Piper model and the model location. For example,
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slash op slash Piper was a slash note. The voice use need to include the voice in .onks format
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and also the voice configuration in .json format output underscore file output.way the final
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script is included in the show notes. That said, now if you had downloaded the voices from
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HBR 4172, there should be a successful voice to text output. To put the final touches on my
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voice, which is the NUS-cusal-medium voice process just a bit with the SOX program.
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The following parts are processed. Add to seconds of silence to the beginning of the file,
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reduce clipping by reducing the volume to 99% of input reduced the tempo by 12% the resulting
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script will be in the show notes. One last thing, it was brought to my attention that the Piper voice,
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Bryce may sound like William Shatner in the original Star Trek TV series. I will put that clip in
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here and see what the community thinks. Feel free to leave a comment saying ye or nay on this opinion.
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From Wikipedia, the free encyclopedia automatic announcement a synthetic voice announcing an
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arriving train in Sweden. Speech synthesis is the artificial production of human speech.
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A computer system used for this purpose is called a speech synthesizer and can be implemented
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in software or hardware products. A text to speech TTS system converts normal language text
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into speech, other systems render symbolic linguistic representations like phonetic transcriptions
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into speech. One the reverse process is speech recognition. Synthesized speech can be created by
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concatenating pieces of recorded speech that are stored in a database. Systems differ in the size
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of the stored speech units, a system that stores phones or diffones provides the largest output
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but may lack clarity. For specific usage domains, the storage of entire words or sentences
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allows for high quality output. Alternatively, a synthesizer can incorporate a model of the vocal
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tract and other human voice characteristics to create a completely synthetic voice output.
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To the quality of a speech synthesizer is judged by its similarity to the human voice
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and by its ability to be understood clearly. An intelligible text to speech program allows people
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with visual impairments or reading disabilities to listen to written words on a home computer.
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Many computer operating systems have included speech synthesizers since the early 1990s.
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What you just heard was the Bryce voice from Piper. What do you think?
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If this tool works for you, feel free to leave comments on the show. Better yet, record a show
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of your own. Looking forward to hearing from the next host whether it be by text to speech or
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a microphone. Remember to support free software and apps in the F-Frood store if you use Android.
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This has been your host, Archer72. Bye!
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You have been listening to Hacker Public Radio at HackerPublicRadio.org. Today's show was
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contributed by a HBR listener like yourself. If you ever thought of recording podcasts,
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you can click on our contribute link to find out how easy it leads. Hosting for HBR has been
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kindly provided by an honesthost.com, the internet archive and our syncs.net.
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On the Sadois status, today's show is released under Creative Commons' Attribution 4.0 International
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