I'm not exactly sure what the end goal is, but Microsoft has API calls
for text to speech. I don't know if they have any for the language
you're using, but if they do, sending the text to the speech routines is
fairly straightforward in FPC, In fact, there was a discussion about
that very thing here a couple months ago, you can find it in the
archives if you need/choose to go that route.
On 9/25/2023 12:06 AM, Rafael Picanço via fpc-pascal wrote:
Hi guys,
I am looking for some advice on how to use a speech-to-text model with
a fpc program designed to teach reading of invented words
composed from 8 brazilian portuguese phonemes (four consonants and
fours vowels).
So, right now
(https://github.com/cpicanco/stimulus-control-sdl2/blob/hanna/src/sdl.app.audio.recorder.devices.pas)
the program uses SDL2 to record short 4-5s audio streams and save each
recording to a wav file using fpwavwriter. Each audio stream/file is
supposed to be a word spoken by a student during a recording/playback
session of a word presented on screen. The participant will click a
button to finish the session. Then, the program will start a
speech-to-text routine and give some feedback.
There will be two speech-to-text routines. The first one will be a
human transcription (nothing new here for me). The second one will be
an IA transcription.
I am looking for an approach to read the raw stream (or the saved file
if no direct stream support) and pass it to a speech IA model (for
example, whisper) and then return some text output for further processing.
Using python, Whisper Medium (multilanguage), I got some good
(although slow) results without any fine tuning. However, I am
considering using Transformers if any fine tuning turns out to be
necessary.
So, in this context, what would be "the way to go" for using the final
model with free pascal? Calling a script with TProcess? Please, can
you shed some light on here?
Best regards,
R
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