1. Are there any tutorial that I can follow on this topic?
2. Are there any other way apart from programming in C++?
3. What are the expected form of signal from this process?
Thank you.
Search found 5 matches
- Mon Nov 16, 2020 1:34 pm
- Forum: Windows
- Topic: Framing & windowing speech signal
- Replies: 3
- Views: 110
- Mon Nov 16, 2020 12:54 pm
- Forum: Windows
- Topic: Framing & windowing speech signal
- Replies: 3
- Views: 110
Framing & windowing speech signal
Hi.
Is it framing and windowing considered as a same step in speech signal preprocessing? And can I accomplish this tasks with Audacity? If can, how?
Thank you so much.
Is it framing and windowing considered as a same step in speech signal preprocessing? And can I accomplish this tasks with Audacity? If can, how?
Thank you so much.
- Sun Nov 15, 2020 3:01 pm
- Forum: Windows
- Topic: Preprocessing of speech signal using Audacity
- Replies: 5
- Views: 160
Re: Preprocessing of speech signal using Audacity
Thank you so much Steve and Trebor. Oh I see. So I can skip the A/D Conversion process right? I can went straight away to the next process of preprocessing speech signal which is noise removal then pre-emphasis and lastly framing and windowing? Or is it framing and windowing considered as a same ste...
- Sun Nov 15, 2020 1:20 pm
- Forum: Windows
- Topic: Preprocessing of speech signal using Audacity
- Replies: 5
- Views: 160
Re: Preprocessing of speech signal using Audacity
Yes, I have the audio data in .wav format in my laptop and I'm a student actually, currently doing a research in Speech Recognition System.
- Sun Nov 15, 2020 12:04 pm
- Forum: Windows
- Topic: Preprocessing of speech signal using Audacity
- Replies: 5
- Views: 160
Preprocessing of speech signal using Audacity
Hi, I'm just started to develop a speech recognition system. I already collected the audio to be processed. Originally the speech signal is in analog. My concern here is can Audacity convert analog speech signal to digital speech signal? So that it can be preprocess. If can, how? Thank you!