Usaing sample code TranscriberDemo.java I successfully save Transform in to a file as follows:
// Transform represents the speech profile
Transform transform = stats.createTransform();
transform.store("MyVoiceTransform", 0);
Now I want to use it in another program, how do I load Transform from file in to Recognizer ?
I tried below code, but its throwing java.lang.NullPointerException at transform2.load("MyVoiceTransform");
I think this is not the way of loading Transform from file.
Could you point me to correct code ?
StreamSpeechRecognizer recognizer2 = new
StreamSpeechRecognizer(configuration);
Stats stats2 = recognizer2.createStats(1);
Transform transform2 = stats2.createTransform();
transform2.load("MyVoiceTransform");
recognizer2.setTransform(transform2);
and this code
StreamSpeechRecognizer recognizer2 = new StreamSpeechRecognizer(configuration);
recognizer2.loadTransform("MyVoiceTransform", 1);
I am using sphinx4-5prealpha.
Related
I'm implementing google cloud vision for the first time.
Successfully created product set, products and assigned images to products.
When I try to execute product search sending base64 encoded image the result is always null. But when I try it with image from google cloud storage it's working. Any idea why it's not working?
$productSearchClient = new ProductSearchClient();
$productSetPath = $productSearchClient->productSetName(config('web.google_vision.project_id'), config('web.google_vision.location'), 2);
# product search specific parameters
$productSearchParams = (new ProductSearchParams())
->setProductSet($productSetPath)
->setProductCategories(['general-v1']);
# search products similar to the image
$imageAnnotatorClient = new ImageAnnotatorClient();
//$image = 'gs://picfly-bucket/wendys-5.jpeg';
$image = base64_encode(file_get_contents(public_path('gallery/test/wendy-search.png')));
$response = $imageAnnotatorClient->productSearch($image, $productSearchParams);
dd($response->getProductSearchResults());
As per this doc, your code reads a local file and queries the API by including inline the raw image bytes (base64 encoded image) in the request. So, you should not call base64_encode() explicitly. The Vision library does the base64 encoding by default. You just need to call fopen() to open your local image data. The code would look like:
$image = fopen('gallery/test/wendy-search.png', 'r');
$response = $imageAnnotatorClient->productSearch($image, $productSearchParams);
While trying to download sentinel image for a specific location, the tif file is generated by default in drive but its not readable by openCV or PIL.Image().Below is the code for the same. If I use the file format as tfrecord. There are no Images downloaded in the drive.
starting_time = '2018-12-15'
delta = 15
L = -96.98
B = 28.78
R = -97.02
T = 28.74
cordinates = [L,B,R,T]
my_scale = 30
fname = 'sinton_texas_30'
llx = cordinates[0]
lly = cordinates[1]
urx = cordinates[2]
ury = cordinates[3]
geometry = [[llx,lly], [llx,ury], [urx,ury], [urx,lly]]
tstart = datetime.datetime.strptime(starting_time, '%Y-%m-%d') tend =
tstart+datetime.timedelta(days=delta)
collSent = ee.ImageCollection('COPERNICUS/S2').filterDate(str(tstart).split('')[0], str(tend).split(' ')[0]).filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20)).map(mask2clouds)
medianSent = ee.Image(collSent.reduce(ee.Reducer.median())) cropLand = ee.ImageCollection('USDA/NASS/CDL').filterDate('2017-01-01','2017-12-31').first()
task_config = {
'scale': my_scale,
'region': geometry,
'fileFormat':'TFRecord'
}
f1 = medianSent.select(['B1_median','B2_median','B3_median'])
taskSent = ee.batch.Export.image(f1,fname+"_Sent",task_config)
taskSent.start()
I expect the output to be readable in python so I can covert into numpy. In case of file format 'tfrecord', I expect the file to be downloaded in my drive.
I think you should think about the following things:
File format
If you want to open your file with PIL or OpenCV, and not with TensorFlow, you would rather use GeoTIFF. Try with this format and see if things are improved.
Saving to drive
Normally saving to your Drive is the default behavior. However, you can try to force writing to your drive:
ee.batch.Export.image.toDrive(image=f1, ...)
You can further try to setup a folder, where the images should be sent to:
ee.batch.Export.image.toDrive(image=f1, folder='foo', ...)
In addition, the Export data help page and this tutorial are good starting points for further research.
So I'm trying to write a simple program that will detect voice activity with a .wav file using the CMU Sphinx library.
So far, I have the following
SpeechClassifier s = new SpeechClassifier();
s.setPredecessor(dataSource);
Data d = s.getData();
while(d != null) {
if(s.isSpeech()) {
System.out.println("Speech is detected");
}
else {
System.out.println("Speech has not been detected");
}
System.out.println();
d = s.getData();
}
I get the output "Speech is not detected" but there is Speech in the audio file. It seems as if the getData function is not working the way I want it to. I want it to get the frames and then determine whether the frames (s.isSpeech()) contain speech or not.
I'm trying to have multiple outputs ("Speech is detected" vs "Speech is not detected") for each frame. How can I make my code better? Thanks!
You need to insert DataBlocker before SpeechClassifier:
DataBlocker b = new DataBlocker(10); // means 10ms
SpeechClassifier s = new SpeechClassifier(10, 0.003, 10, 0);
b.setPredecessor(dataSource);
s.setPredecessor(b);
Then it will process 10 millisecond frames.
I'm using tealeg xlsx library to read an excel file https://github.com/tealeg/xlsx . They have documentation here https://godoc.org/github.com/tealeg/ . It works perfectly fine if I call the OpenFile() by local directory, but I wanted to use an http.Request.FormFile() return object which is of type multipart.Form. How do I use this file to be read by the tealeg package?
Tealeg's OpenReaderAt() looks like something I should use, but the multipart. Form object returned from http.Request.FormFile() returns a file interface but I'm not sure how to access the readerAt object? https://golang.org/pkg/mime/multipart/#File
func OpenReaderAt(r io.ReaderAt, size int64) (*File, error)
xlsx.OpenReaderAt takes in an io.ReaderAt interface and multipart.File also implements io.ReaderAt.
So you can directly pass it to xlsx.OpenReaderAt
var (
file multipart.File
size int64
err error
)
file, _,err = req.FormFile("key")
// size = // Calculate size
xlsx.OpenReaderAt(file,size)
I'm writing a MOD player, trying to playback a sample using Allegro5 raw stream capabilities, I can't figure out the exact init parameters for the stream to play the loaded sample data from the mod file.
This is what I have:
xf::ModLoader ml;
ml.loadFromFile("C:\\Users\\bubu\\Downloads\\agress.mod");
// getSampleLength() returns # of data words
int sample_length = ml.getSampleLength(1) * 2;
const int8_t* sample_data = ml.getSampleData(1);
ALLEGRO_MIXER* mixer = al_get_default_mixer();
ALLEGRO_AUDIO_STREAM* stream = al_create_audio_stream(1, sample_length, 8363, ALLEGRO_AUDIO_DEPTH_INT8, ALLEGRO_CHANNEL_CONF_1);
al_attach_audio_stream_to_mixer(stream, mixer);
al_set_audio_stream_gain(stream, 0.7f);
al_set_audio_stream_playmode(stream, ALLEGRO_PLAYMODE_ONCE);
al_set_audio_stream_playing(stream, true);
al_set_audio_stream_fragment(stream, (void*)sample_data);
al_drain_audio_stream(stream);
First of all, freq param is hardcoded for the test (8363Hz), but, playing back at the specified frequency I don't get what I expect, and al_drain_audio_stream() gets stuck forever playing garbage in a loop...
Any help would be appreciated.
At the very least, you need to be calling al_get_audio_stream_fragment before you call al_set_audio_stream_fragment. Typically you'd feed these streams in a while loop, while responding to the ALLEGRO_EVENT_AUDIO_STREAM_FRAGMENT event. See the ex_saw example in the Allegro's source for some sample code: https://github.com/liballeg/allegro5/blob/master/examples/ex_saw.c