<div class="entry">
<div class="title">Speech to text, she APTly whispered, how hard can it be?</div>
<div class="date">23rd April 2023</div>
- <div class="body"><p>While visiting a convention during Eastern, it occurred to me that
+ <div class="body"><p>While visiting a convention during Easter, it occurred to me that
it would be great if I could have a digital Dictaphone with
transcribing capabilities, providing me with texts to cut-n-paste into
stuff I need to write. The background is that long drives often bring
audio recording. It handle multiple languages and according to its
creators even can translate into a different language than the spoken
one. I have not tested the latter feature. It can either use the CPU
-or a GPU with CODA support. As far as I can tell, CODA in practice
+or a GPU with CUDA support. As far as I can tell, CUDA in practice
limit that feature to NVidia graphics cards. I have few of those, as
they do not work great with free software drivers, and have not tested
the GPU option. While looking into the matter, I did discover some
-work to provide CODA support on non-NVidia GPUs, and some work with
+work to provide CUDA support on non-NVidia GPUs, and some work with
the library used by Whisper to port it to other GPUs, but have not
spent much time looking into GPU support yet. I've so far used an old
X220 laptop as my test machine, and only transcribed using its
<link>https://people.skolelinux.org/pere/blog/Speech_to_text__she_APTly_whispered__how_hard_can_it_be_.html</link>
<guid isPermaLink="true">https://people.skolelinux.org/pere/blog/Speech_to_text__she_APTly_whispered__how_hard_can_it_be_.html</guid>
<pubDate>Sun, 23 Apr 2023 09:40:00 +0200</pubDate>
- <description><p>While visiting a convention during Eastern, it occurred to me that
+ <description><p>While visiting a convention during Easter, it occurred to me that
it would be great if I could have a digital Dictaphone with
transcribing capabilities, providing me with texts to cut-n-paste into
stuff I need to write. The background is that long drives often bring
audio recording. It handle multiple languages and according to its
creators even can translate into a different language than the spoken
one. I have not tested the latter feature. It can either use the CPU
-or a GPU with CODA support. As far as I can tell, CODA in practice
+or a GPU with CUDA support. As far as I can tell, CUDA in practice
limit that feature to NVidia graphics cards. I have few of those, as
they do not work great with free software drivers, and have not tested
the GPU option. While looking into the matter, I did discover some
-work to provide CODA support on non-NVidia GPUs, and some work with
+work to provide CUDA support on non-NVidia GPUs, and some work with
the library used by Whisper to port it to other GPUs, but have not
spent much time looking into GPU support yet. I've so far used an old
X220 laptop as my test machine, and only transcribed using its
23rd April 2023
</div>
<div class="body">
- <p>While visiting a convention during Eastern, it occurred to me that
+ <p>While visiting a convention during Easter, it occurred to me that
it would be great if I could have a digital Dictaphone with
transcribing capabilities, providing me with texts to cut-n-paste into
stuff I need to write. The background is that long drives often bring
audio recording. It handle multiple languages and according to its
creators even can translate into a different language than the spoken
one. I have not tested the latter feature. It can either use the CPU
-or a GPU with CODA support. As far as I can tell, CODA in practice
+or a GPU with CUDA support. As far as I can tell, CUDA in practice
limit that feature to NVidia graphics cards. I have few of those, as
they do not work great with free software drivers, and have not tested
the GPU option. While looking into the matter, I did discover some
-work to provide CODA support on non-NVidia GPUs, and some work with
+work to provide CUDA support on non-NVidia GPUs, and some work with
the library used by Whisper to port it to other GPUs, but have not
spent much time looking into GPU support yet. I've so far used an old
X220 laptop as my test machine, and only transcribed using its
<div class="entry">
<div class="title"><a href="https://people.skolelinux.org/pere/blog/Speech_to_text__she_APTly_whispered__how_hard_can_it_be_.html">Speech to text, she APTly whispered, how hard can it be?</a></div>
<div class="date">23rd April 2023</div>
- <div class="body"><p>While visiting a convention during Eastern, it occurred to me that
+ <div class="body"><p>While visiting a convention during Easter, it occurred to me that
it would be great if I could have a digital Dictaphone with
transcribing capabilities, providing me with texts to cut-n-paste into
stuff I need to write. The background is that long drives often bring
audio recording. It handle multiple languages and according to its
creators even can translate into a different language than the spoken
one. I have not tested the latter feature. It can either use the CPU
-or a GPU with CODA support. As far as I can tell, CODA in practice
+or a GPU with CUDA support. As far as I can tell, CUDA in practice
limit that feature to NVidia graphics cards. I have few of those, as
they do not work great with free software drivers, and have not tested
the GPU option. While looking into the matter, I did discover some
-work to provide CODA support on non-NVidia GPUs, and some work with
+work to provide CUDA support on non-NVidia GPUs, and some work with
the library used by Whisper to port it to other GPUs, but have not
spent much time looking into GPU support yet. I've so far used an old
X220 laptop as my test machine, and only transcribed using its
<link>https://people.skolelinux.org/pere/blog/Speech_to_text__she_APTly_whispered__how_hard_can_it_be_.html</link>
<guid isPermaLink="true">https://people.skolelinux.org/pere/blog/Speech_to_text__she_APTly_whispered__how_hard_can_it_be_.html</guid>
<pubDate>Sun, 23 Apr 2023 09:40:00 +0200</pubDate>
- <description><p>While visiting a convention during Eastern, it occurred to me that
+ <description><p>While visiting a convention during Easter, it occurred to me that
it would be great if I could have a digital Dictaphone with
transcribing capabilities, providing me with texts to cut-n-paste into
stuff I need to write. The background is that long drives often bring
audio recording. It handle multiple languages and according to its
creators even can translate into a different language than the spoken
one. I have not tested the latter feature. It can either use the CPU
-or a GPU with CODA support. As far as I can tell, CODA in practice
+or a GPU with CUDA support. As far as I can tell, CUDA in practice
limit that feature to NVidia graphics cards. I have few of those, as
they do not work great with free software drivers, and have not tested
the GPU option. While looking into the matter, I did discover some
-work to provide CODA support on non-NVidia GPUs, and some work with
+work to provide CUDA support on non-NVidia GPUs, and some work with
the library used by Whisper to port it to other GPUs, but have not
spent much time looking into GPU support yet. I've so far used an old
X220 laptop as my test machine, and only transcribed using its
<link>https://people.skolelinux.org/pere/blog/Speech_to_text__she_APTly_whispered__how_hard_can_it_be_.html</link>
<guid isPermaLink="true">https://people.skolelinux.org/pere/blog/Speech_to_text__she_APTly_whispered__how_hard_can_it_be_.html</guid>
<pubDate>Sun, 23 Apr 2023 09:40:00 +0200</pubDate>
- <description><p>While visiting a convention during Eastern, it occurred to me that
+ <description><p>While visiting a convention during Easter, it occurred to me that
it would be great if I could have a digital Dictaphone with
transcribing capabilities, providing me with texts to cut-n-paste into
stuff I need to write. The background is that long drives often bring
audio recording. It handle multiple languages and according to its
creators even can translate into a different language than the spoken
one. I have not tested the latter feature. It can either use the CPU
-or a GPU with CODA support. As far as I can tell, CODA in practice
+or a GPU with CUDA support. As far as I can tell, CUDA in practice
limit that feature to NVidia graphics cards. I have few of those, as
they do not work great with free software drivers, and have not tested
the GPU option. While looking into the matter, I did discover some
-work to provide CODA support on non-NVidia GPUs, and some work with
+work to provide CUDA support on non-NVidia GPUs, and some work with
the library used by Whisper to port it to other GPUs, but have not
spent much time looking into GPU support yet. I've so far used an old
X220 laptop as my test machine, and only transcribed using its
23rd April 2023
</div>
<div class="body">
- <p>While visiting a convention during Eastern, it occurred to me that
+ <p>While visiting a convention during Easter, it occurred to me that
it would be great if I could have a digital Dictaphone with
transcribing capabilities, providing me with texts to cut-n-paste into
stuff I need to write. The background is that long drives often bring
audio recording. It handle multiple languages and according to its
creators even can translate into a different language than the spoken
one. I have not tested the latter feature. It can either use the CPU
-or a GPU with CODA support. As far as I can tell, CODA in practice
+or a GPU with CUDA support. As far as I can tell, CUDA in practice
limit that feature to NVidia graphics cards. I have few of those, as
they do not work great with free software drivers, and have not tested
the GPU option. While looking into the matter, I did discover some
-work to provide CODA support on non-NVidia GPUs, and some work with
+work to provide CUDA support on non-NVidia GPUs, and some work with
the library used by Whisper to port it to other GPUs, but have not
spent much time looking into GPU support yet. I've so far used an old
X220 laptop as my test machine, and only transcribed using its
<link>https://people.skolelinux.org/pere/blog/Speech_to_text__she_APTly_whispered__how_hard_can_it_be_.html</link>
<guid isPermaLink="true">https://people.skolelinux.org/pere/blog/Speech_to_text__she_APTly_whispered__how_hard_can_it_be_.html</guid>
<pubDate>Sun, 23 Apr 2023 09:40:00 +0200</pubDate>
- <description><p>While visiting a convention during Eastern, it occurred to me that
+ <description><p>While visiting a convention during Easter, it occurred to me that
it would be great if I could have a digital Dictaphone with
transcribing capabilities, providing me with texts to cut-n-paste into
stuff I need to write. The background is that long drives often bring
audio recording. It handle multiple languages and according to its
creators even can translate into a different language than the spoken
one. I have not tested the latter feature. It can either use the CPU
-or a GPU with CODA support. As far as I can tell, CODA in practice
+or a GPU with CUDA support. As far as I can tell, CUDA in practice
limit that feature to NVidia graphics cards. I have few of those, as
they do not work great with free software drivers, and have not tested
the GPU option. While looking into the matter, I did discover some
-work to provide CODA support on non-NVidia GPUs, and some work with
+work to provide CUDA support on non-NVidia GPUs, and some work with
the library used by Whisper to port it to other GPUs, but have not
spent much time looking into GPU support yet. I've so far used an old
X220 laptop as my test machine, and only transcribed using its
23rd April 2023
</div>
<div class="body">
- <p>While visiting a convention during Eastern, it occurred to me that
+ <p>While visiting a convention during Easter, it occurred to me that
it would be great if I could have a digital Dictaphone with
transcribing capabilities, providing me with texts to cut-n-paste into
stuff I need to write. The background is that long drives often bring
audio recording. It handle multiple languages and according to its
creators even can translate into a different language than the spoken
one. I have not tested the latter feature. It can either use the CPU
-or a GPU with CODA support. As far as I can tell, CODA in practice
+or a GPU with CUDA support. As far as I can tell, CUDA in practice
limit that feature to NVidia graphics cards. I have few of those, as
they do not work great with free software drivers, and have not tested
the GPU option. While looking into the matter, I did discover some
-work to provide CODA support on non-NVidia GPUs, and some work with
+work to provide CUDA support on non-NVidia GPUs, and some work with
the library used by Whisper to port it to other GPUs, but have not
spent much time looking into GPU support yet. I've so far used an old
X220 laptop as my test machine, and only transcribed using its
23rd April 2023
</div>
<div class="body">
- <p>While visiting a convention during Eastern, it occurred to me that
+ <p>While visiting a convention during Easter, it occurred to me that
it would be great if I could have a digital Dictaphone with
transcribing capabilities, providing me with texts to cut-n-paste into
stuff I need to write. The background is that long drives often bring
audio recording. It handle multiple languages and according to its
creators even can translate into a different language than the spoken
one. I have not tested the latter feature. It can either use the CPU
-or a GPU with CODA support. As far as I can tell, CODA in practice
+or a GPU with CUDA support. As far as I can tell, CUDA in practice
limit that feature to NVidia graphics cards. I have few of those, as
they do not work great with free software drivers, and have not tested
the GPU option. While looking into the matter, I did discover some
-work to provide CODA support on non-NVidia GPUs, and some work with
+work to provide CUDA support on non-NVidia GPUs, and some work with
the library used by Whisper to port it to other GPUs, but have not
spent much time looking into GPU support yet. I've so far used an old
X220 laptop as my test machine, and only transcribed using its
<link>https://people.skolelinux.org/pere/blog/Speech_to_text__she_APTly_whispered__how_hard_can_it_be_.html</link>
<guid isPermaLink="true">https://people.skolelinux.org/pere/blog/Speech_to_text__she_APTly_whispered__how_hard_can_it_be_.html</guid>
<pubDate>Sun, 23 Apr 2023 09:40:00 +0200</pubDate>
- <description><p>While visiting a convention during Eastern, it occurred to me that
+ <description><p>While visiting a convention during Easter, it occurred to me that
it would be great if I could have a digital Dictaphone with
transcribing capabilities, providing me with texts to cut-n-paste into
stuff I need to write. The background is that long drives often bring
audio recording. It handle multiple languages and according to its
creators even can translate into a different language than the spoken
one. I have not tested the latter feature. It can either use the CPU
-or a GPU with CODA support. As far as I can tell, CODA in practice
+or a GPU with CUDA support. As far as I can tell, CUDA in practice
limit that feature to NVidia graphics cards. I have few of those, as
they do not work great with free software drivers, and have not tested
the GPU option. While looking into the matter, I did discover some
-work to provide CODA support on non-NVidia GPUs, and some work with
+work to provide CUDA support on non-NVidia GPUs, and some work with
the library used by Whisper to port it to other GPUs, but have not
spent much time looking into GPU support yet. I've so far used an old
X220 laptop as my test machine, and only transcribed using its
23rd April 2023
</div>
<div class="body">
- <p>While visiting a convention during Eastern, it occurred to me that
+ <p>While visiting a convention during Easter, it occurred to me that
it would be great if I could have a digital Dictaphone with
transcribing capabilities, providing me with texts to cut-n-paste into
stuff I need to write. The background is that long drives often bring
audio recording. It handle multiple languages and according to its
creators even can translate into a different language than the spoken
one. I have not tested the latter feature. It can either use the CPU
-or a GPU with CODA support. As far as I can tell, CODA in practice
+or a GPU with CUDA support. As far as I can tell, CUDA in practice
limit that feature to NVidia graphics cards. I have few of those, as
they do not work great with free software drivers, and have not tested
the GPU option. While looking into the matter, I did discover some
-work to provide CODA support on non-NVidia GPUs, and some work with
+work to provide CUDA support on non-NVidia GPUs, and some work with
the library used by Whisper to port it to other GPUs, but have not
spent much time looking into GPU support yet. I've so far used an old
X220 laptop as my test machine, and only transcribed using its
<link>https://people.skolelinux.org/pere/blog/Speech_to_text__she_APTly_whispered__how_hard_can_it_be_.html</link>
<guid isPermaLink="true">https://people.skolelinux.org/pere/blog/Speech_to_text__she_APTly_whispered__how_hard_can_it_be_.html</guid>
<pubDate>Sun, 23 Apr 2023 09:40:00 +0200</pubDate>
- <description><p>While visiting a convention during Eastern, it occurred to me that
+ <description><p>While visiting a convention during Easter, it occurred to me that
it would be great if I could have a digital Dictaphone with
transcribing capabilities, providing me with texts to cut-n-paste into
stuff I need to write. The background is that long drives often bring
audio recording. It handle multiple languages and according to its
creators even can translate into a different language than the spoken
one. I have not tested the latter feature. It can either use the CPU
-or a GPU with CODA support. As far as I can tell, CODA in practice
+or a GPU with CUDA support. As far as I can tell, CUDA in practice
limit that feature to NVidia graphics cards. I have few of those, as
they do not work great with free software drivers, and have not tested
the GPU option. While looking into the matter, I did discover some
-work to provide CODA support on non-NVidia GPUs, and some work with
+work to provide CUDA support on non-NVidia GPUs, and some work with
the library used by Whisper to port it to other GPUs, but have not
spent much time looking into GPU support yet. I've so far used an old
X220 laptop as my test machine, and only transcribed using its
projects / homepage.git / commitdiff