शैडोइंग अभ्यास: Can This Robot Be My Personal Assistant - वीडियो के साथ अंग्रेजी बोलना सीखें

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166 वाक्य

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I've always dreamt of having a robot and in 2026, it feels like that dream is a little bit closer all of the time.

However, Very recently, it got much closer for me because on my desk, is this.

This is a reachy mini.

Now, reaching mini is a super cute robot from pollen robotics

and hugging face and it's not just like a product toy robot that you buy.

It's a straight up development platform that you could do anything you want with it.

But just owning the robot wasn't really the dream.

So I set out to connect Ricci Mini to Hermes and give myself a true robot personal assistant.

And because I need to justify having a robot like this, I set out on a side quest as well.

That side quest is to build

from a cute little robot like this seems way more fun than practicing it with mom and dad.

But before I even got here though, we needed to build Ricci because this thing comes unassembled.

Now Ricci wasn't an easy build but it also wasn't a difficult build.

It probably took an hour and 45 minutes and it could have taken much less if I was doing it by myself.

This and learn what all of the different component connectors were.

We got to learn how to use the screwdrivers and how to connect things.

This isn't their first electronics project, but it definitely was their most involved.

And when we finally got Ricci connected and turned on, there was moments of real genuine joy from them.

Get behind him.

We're private.

Hi, Richie!

Welcome to the city, marshmallow!

You're a winner, marshmallow!

So now that Ricci is built, it's time to get working on our custom software.

Because we have a lot of things I would like to do with this.

Now, the community -based apps are great, but I had bigger plans.

So to make Ricci a true personal assistant and claim success here, I need this robot to do a few things.

I need to, one, connect it to my Hermes.

I need to get wake word detection so that way I can talk to it directly starting out of nowhere.

I need to have conversation going back and forth.

And as far as the personal assistant tasks go, I would love for this thing to have a memory.

I would like for it to be able to do tool calling.

I would like for it to do simple coding tasks, be able to use my home assistant.

And I would love for this to be able to do personal assistant tasks like simply reading my calendar.

A lot of those are very possible with Hermes, but many of these things are going to require true custom software.

Now to give you some background, Ricci comes in two flavors.

There is the light version, which is what we have here, which requires the brains of it to be running on a computer.

I have a Mac mini right there that is perfect for running long running software on.

So I'm going to be running all of my Ricci mini software off of this computer, and Ricci is going to be communicating over wifi.

version of the Ricci Mini that has a built -in Raspberry Pi.

However, I think the light version, if you have a long -running computer, makes a ton of sense, right?

So what did I do?

Well, I started off with a fork of the existing conversation app.

From there, I used the prompt in the docs to really get started.

I then replaced all of the calls to OpenAI with calls to my Hermes, which was really simple because Hermes has a great API.

And this actually gave me a ton of I use my Hermes for a ton of stuff already.

So just simply by connecting it to Hermes, I was able to get memory via honcho,

tool calling of all the tools that my various profiles have set up, coding tasks so it can actually do coding on any of my machines since they're all connected via SSH.

So simply getting those things working was super easy,

but the tough stuff here was actually getting timing.

Basically, the Ricci software has voice activity detection.

It decides when speech is actually starting and ending based on the audio level that's coming in.

If the voice activity detection detects speech or silence,

it then starts to transcribe via the local SST, the speech to text that's done being whisper and it's happening on my Mac mini.

From there, it looks to of this robot, my kids named it because just look at the guy.

From then, Ricci would then acknowledge the conversation and then start conversation mode.

Ricci basically just listens for the next sentence and then after 1 .1 seconds of silence,

which by all means is a value that I am still tweaking

and have had to tweak based on the way kids speak to this thing, the way I speak to this thing.

It's taken a lot of trial and error here.

It then transcribes that text locally.

That text is basically sent to Hermes in a prompt.

Hermes does its thing, returns the prompt.

Then our software generates text to speech using Kokoro,

to improve upon the general speed and latency in conversation with this thing.

We then send that audio to the robot and the robot outputs it directly so we can hear it.

It then begins listening for the next prompt for me.

So what you can see is it's basically just a conversational prompt.

Now we also have some stop word detection where we say go to sleep and Rigi will stop the conversation.

Again, this is still things that I'm tweaking and I set out to create a whole host of where the latency is.

Now, one of the reasons why Hermes is less good for this is because by default, Hermes agents have a ton of additional tokens in here.

So the responses take a long time

because we're sending a lot of information in each prompt rather than quick little fast prompts.

It also depends, of course, which model you're using to have it respond to.

Now, I just have this connected via my codec subscription.

So it is using some chunky models rather than some highly tuned fast I will be experimenting with more in the future.

So did this work?

Well, let's start a wake listening and we're going to see

if all of these things work and if we can check them off our list.

I have Marshmallow here, we have wake word listening,

we have conversation, and we're gonna first give this a try with memory and see if Marshmallow can understand.

By the way, this is the custom UI that I've been building.

Hey, Marshmallow.

Hey, I'm listening.

Oh What do you know about me?

You're Scott.

Oh You like concise, direct technical progress, live checks, and family -friendly Reiki mini -apps.

You also prefer short robot prompts and you've got two kids who may use me for spelling practice.

I am listening.

Go to sleep.

Okay, I'll listen for Hey Marshmallow.

So, you can see that the conversation definitely works.

Now, the latency is certainly there.

It's something that I'm working on improving.

Okay, now let's try some of the other things we had in mind.

Now, I have several different profiles in Hermes that all have different abilities.

And the marshmallow profile is kid friendly and kids safe.

However, I have a default profile that has access to things like my calendar, as well as can do coding.

new conversation.

100

What's on my calendar for today?

101

Woohoo!

102

Jury duty all day, drop off from 8 :00 to 8 :30 a .m.

103

Release phases tomorrow from 6 :00 to 7 :00, 0 :00 PM.

104

Change the color of the Marshmallow Conversation app background to be pink.

105

Mm -hmm.

106

Now the coding tasks may take just a second here since it's going off

107

and I don't think this is even inside of the project

108

so it's probably going to have to go look for the project on my machine and then change those files.

109

Done, the Marshmallow Conversation app now has a pink background, and I verified it live at port 7860.

110

It looks good.

111

Yeah, it looks good.

112

Marshmallow, can you turn all of the lights off please?

113

Mm -hmm.

114

you you

115

all reachable lights are off so now

116

that i have the personal assistant of my dreams it's time to get working on the hard part

117

which is the spelling test now the spelling test has a

118

number of features it needs to ingest the spelling list of

119

words it needs to use them in a sentence it needs user has gotten the spelling incorrect.

120

Now, there's a ton of small little problems here and it's time to get to work.

121

So after grinding on our spelling test for quite a while, we have something that can work that allows us to even save and restore various spelling lists.

122

Now is the moment of truth.

123

We're going to be giving this spelling test to my 9 year old and see how he does.

124

J -U -M -P.

125

The word is jump.

126

It is spelled J -U -M -P, try spelling it with me i'm so mad okay

127

so the reviews were not glowing he was a harsh customer

128

and he didn't like it this is certainly not going to help him practice spelling

129

but i have some ideas on how to fix this what

130

if instead of having a back and forth that took

131

so long we pre -rendered all of the audio

132

and including pre -rendering any of the helpful text any of the words that's saying you almost got it

133

going to feel snappier back and forth.

134

And what if we also output the letters on the screen as he was saying it?

135

But most importantly, what if it actually worked?

136

Because as you saw, and honestly, what you didn't see was him spelling the words correctly over and over again, and the robot consistently getting them wrong,

137

specifically because the window for when he was supposed to son a fan of this app.

138

So because of this first initial failed test, what I actually ended up doing was setting the Ricci mini in front of a computer,

139

having that computer take the spelling test on the Ricci mini back and forth with audio and microphones.

140

And then that way, the system was able to self heal

141

and improve the latency using open AI models to run the tests check the debugging information

142

and then fix it test it reiterate until now we have an app that is i gotta say working pretty well

143

Your word is robot.

144

The teacher asked us to spell robot.

145

Um, R -O -B -O -T.

146

Nice work, you spelled it carefully.

147

Huh.

148

Your word is eat.

149

The teacher asked us to spell eat.

150

EAT.

151

Nice work, you spelled it carefully.

152

Your word is jump.

153

The class practiced the word jump today.

154

J U M P.

155

Nice work.

156

You spelled it carefully.

157

So I think this was a great success.

158

The robot is now my personal assistant.

159

It's taking spelling tests with our kids,

160

and it's only going to get better from here because I still haven't really implemented that much with the camera.

161

The next step on the docket is to use the camera to teach my son and I how to play Warhammer 40k.

162

We're going to use the camera and the LLM that this is talking to,

163

to discuss both strategy, what to do next so that way it can even identify pieces on the battlefield.

164

That is a big project and the one that I'm going to be diving into next.

165

That said, I'm a huge fan of this little robot.

166

It's a really cool open project that you can do all kinds of stuff with and I gotta say, I think I just made a new friend.

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इस पाठ की शब्दावली और बोलने के सुझाव

इस वीडियो में शैडोइंग के लिए 166 वाक्य और 2015 शब्द हैं। बोला गया हिस्सा 13:48 लंबा है। वक्ता लगभग 146 शब्द प्रति मिनट की स्थिर गति से बोलता है, जो शैडोइंग के लिए आरामदायक है। केवल 81% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं, इसलिए शब्दावली कठिन है।

इस वीडियो की मुख्य शब्दावली

वीडियो के 15 कम प्रचलित शब्द, उच्चारण और अर्थ के साथ:

robot /ˈɹoʊ.bɑt/ (संज्ञा) — रोबोट, यंत्रमानव. An intelligent mechanical being designed to look like a human or other creature, and usually made from metal.
spelling /ˈspɛl.ɪŋ/ (संज्ञा) — वर्तनी. The act, practice, ability, or subject of forming words with letters, or of reading the letters of words; orthography.
custom /ˈkʌstəm/ (संज्ञा) — प्रथा, रीति. Frequent repetition of the same behavior; way of behavior common to many; ordinary manner; habitual practice; method of doing, living or behaving.
calendar /ˈkæl.ən.də/ (संज्ञा) — कालदर्शक, पंचांग. Any system by which time is divided into days, weeks, months, and years.
silence /ˈsaɪ̯ləns/ (संज्ञा) — शांति, सन्नाटा. The absence of any sound.
default /dɪˈfɔlt/ (संज्ञा) — व्यतिक्रम. The condition of failing to meet an obligation.
quest /kwɛst/ (संज्ञा) — खोज. A journey or effort in pursuit of a goal (often lengthy, ambitious, or fervent); a mission.
desk /dɛsk/ (संज्ञा) — मेज़. A table, frame, or case, in past centuries usually with a sloping top but now usually with a flat top, for the use of writers and readers. It often has a…
helpful /ˈhɛlp.fl̩/ (विशेषण) — मददगार. Furnishing help; giving aid; useful.
experiment /ɪkˈspɛɹ.ə.mənt/ (संज्ञा) — प्रयोग, तजुर्बा. A test under controlled conditions made to either demonstrate a known truth, examine the validity of a hypothesis, or determine the efficacy or likelihood of…
genuine /ˈd͡ʒɛn.juˌɪn/ (विशेषण) — सच, वास्तविक. Belonging to, or proceeding from the original stock; native.
tune /tjuːn/ (संज्ञा) — धुन. A melody.
generate /ˈd͡ʒɛn.ə.ɹeɪt/ (क्रिया) — उपजाना. To bring into being; give rise to.
electronics /ɪˌlɛkˈtɹɑ.nɪks/ (संज्ञा) — इलेक्ट्रॉनिक्स. The study and use of electrical devices that operate by controlling the flow of electrons or other electrically charged particles or by converting the flow of…
acknowledge /əkˈnɑ.lɪd͡ʒ/ (क्रिया) — स्वीकार करना. To admit the knowledge of; to recognize as a fact or truth; to declare one's belief in.

वीडियो में आने वाली फ़्रेज़ल वर्ब

look at (क्रिया) — हेरना. To observe or watch.
look for (क्रिया) — ढूँढ़ना, ढूँढना. To seek.
turn on (क्रिया) — चालू करना. To set a flow of fluid or gas running by rotating a tap or valve.

ध्यान देने योग्य उच्चारण

वक्ता 32 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे I'm, we're, wasn't। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।

“sh” और “zh” की ध्वनियाँ: detection /dɪˈtɛk.ʃən/, harsh /ˈhɑɹʃ/, subscription /səbˈskɹɪpʃən/, marshmallow /ˈmɑɹʃˌmɛl.oʊ/, conversational /ˌkɒnvə(ɹ)ˈseɪʃənəl/
लंबे शब्द — बलाघात सही रखें: experiment /ɪkˈspɛɹ.ə.mənt/, consistently /kənˈsɪstəntli/, communicate /kəˈmjuːnɪkeɪt/, electronics /ɪˌlɛkˈtɹɑ.nɪks/, importantly /ɪmˈpɔɹ.tənt.li/

इस वीडियो से अभ्यास कैसे करें

पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
सामान्य गति पर एक-एक वाक्य की शैडोइंग करें और हर वाक्य तब तक दोहराएँ जब तक आपकी लय वक्ता से न मिल जाए।
अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर robot, spelling, custom जैसे शब्दों पर ध्यान दें।

इस वीडियो का व्याकरण

वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:

संरचना	वीडियो में
Present perfect have/has + past participle — बीता हुआ काम जिसका असर अभी भी है	I've always dreamt · have set · have had
Relative clauses who / which + उपवाक्य — व्यक्ति या वस्तु के बारे में अतिरिक्त जानकारी	version, which is · Hermes, which was · kids who may
Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता है	is built · is spelled

शैडोइंग तकनीक क्या है?

शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।

शैडोइंग तकनीक: पूरी चरण-दर-चरण गाइड पढ़ें →

शैडोइंग अभ्यास: Can This Robot Be My Personal Assistant - वीडियो के साथ अंग्रेजी बोलना सीखें

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