| /frameworks/av/media/libaudioprocessing/tests/ |
| mixer_to_wav_tests.sh | 3 # This script uses test-mixer to generate WAV files
17 # the output WAV files, e.g.
20 # audacity *.wav
25 # start of the WAV file to verify proper ramping.
53 # createwav creates a series of WAV files testing various
67 -o /sdcard/tm48000grif.wav \
70 adb pull /sdcard/tm48000grif.wav $2
76 -o /sdcard/tm48000gr.wav \
79 adb pull /sdcard/tm48000gr.wav $2
87 -a /sdcard/aux9307gra.wav -o /sdcard/tm9307gra.wav
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| summary_audio_op_test.cc | 70 Env::Default(), strings::StrCat("/tmp/", value->tag(), ".wav"),
101 audio { content_type: "audio/wav" sample_rate: 44100 num_channels: 2
104 audio { content_type: "audio/wav" sample_rate: 44100 num_channels: 2
107 audio { content_type: "audio/wav" sample_rate: 44100 num_channels: 2
135 audio { content_type: "audio/wav" sample_rate: 44100 num_channels: 1
138 audio { content_type: "audio/wav" sample_rate: 44100 num_channels: 1
141 audio { content_type: "audio/wav" sample_rate: 44100 num_channels: 1
|
| spectrogram_convert_test_data.cc | 24 namespace wav { namespace in namespace:tensorflow
40 } // namespace wav
50 tensorflow::Status status = tensorflow::wav::ConvertCsvToRaw(filename);
|
| encode_wav_op.cc | 25 #include "tensorflow/core/lib/wav/wav_io.h"
29 // Encode a tensor as audio samples into the contents of a WAV format file.
54 // Encode audio to wav string.
59 wav::EncodeAudioAsS16LEWav(
|
| decode_wav_op.cc | 24 #include "tensorflow/core/lib/wav/wav_io.h"
28 // Decode the contents of a WAV file
45 errors::InvalidArgument("WAV contents are too large for int: ",
53 wav::DecodeLin16WaveAsFloatVector(
|
| summary_audio_op.cc | 24 #include "tensorflow/core/lib/wav/wav_io.h"
76 sa->set_content_type("audio/wav");
88 c, wav::EncodeAudioAsS16LEWav(
|
| /external/tensorflow/tensorflow/core/lib/wav/ |
| wav_io.h | 16 // Functions to write audio in WAV format.
28 namespace wav { namespace in namespace:tensorflow
31 // little-endian WAV file.
46 // Decodes the little-endian signed 16-bit PCM WAV file data (aka LIN16
58 } // namespace wav
|
| wav_io_test.cc | 16 #include "tensorflow/core/lib/wav/wav_io.h"
26 namespace wav { namespace in namespace:tensorflow
158 } // namespace wav
|
| /external/tensorflow/tensorflow/examples/speech_commands/ |
| label_wav.py | 17 The model, labels and .wav file specified in the arguments will be loaded, and
27 --wav=/tmp/speech_dataset/left/a5d485dc_nohash_0.wav
80 def label_wav(wav, labels, graph, input_name, output_name, how_many_labels):
82 if not wav or not tf.gfile.Exists(wav):
83 tf.logging.fatal('Audio file does not exist %s', wav)
96 with open(wav, 'rb') as wav_file:
104 label_wav(FLAGS.wav, FLAGS.labels, FLAGS.graph, FLAGS.input_name,
111 '--wav', type=str, default='', help='Audio file to be identified.'
[all...] |
| test_streaming_accuracy.cc | 48 If you want to test natural data, you need to use a .wav with the same sample
57 --wav=/tmp/streaming_test_bg.wav \
75 #include "tensorflow/core/lib/wav/wav_io.h"
134 string wav = ""; local
149 Flag("wav", &wav, "audio file to be identified"),
212 tensorflow::Env::Default(), wav, &wav_string);
221 Status decode_wav_status = tensorflow::wav::DecodeLin16WaveAsFloatVector(
228 LOG(ERROR) << "Only mono .wav files can be used, but input has
[all...] |
| label_wav.cc | 101 string wav = ""; local
108 Flag("wav", &wav, "audio file to be identified"),
146 tensorflow::Env::Default(), wav, &wav_string);
|
| /system/media/audio_utils/ |
| tinysndfile.c | 82 unsigned char wav[12]; local
84 actual = fread(wav, sizeof(char), sizeof(wav), stream);
91 if (memcmp(wav, "RIFF", 4)) {
93 fprintf(stderr, "wav != RIFF\n");
97 unsigned riffSize = little4u(&wav[4]);
104 if (memcmp(&wav[8], "WAVE", 4)) {
316 unsigned char wav[58]; local
317 memset(wav, 0, sizeof(wav));
406 unsigned char wav[58]; local
[all...] |
| /external/libgsm/tst/ |
| cod2lin.c | 20 int wav = 0; variable
46 gsm_option(r, GSM_OPT_WAV49, &wav);
86 case 'w': wav++; break;
|
| lin2cod.c | 19 int wav = 0; variable
42 gsm_option(r, GSM_OPT_WAV49, &wav);
87 case 'w': wav++; break;
|
| /external/webrtc/webrtc/modules/media_file/ |
| media_file_utility.cc | 75 int32_t ModuleFileUtility::ReadWavHeader(InStream& wav)
89 int len = wav.Read(&RIFFheaderObj, sizeof(WAVE_RIFF_header));
118 len = wav.Read(&CHUNKheaderObj, sizeof(WAVE_CHUNK_header));
136 len = wav.Read(&_wavFormatObj, sizeof(WAVE_FMTINFO_header));
176 len = wav.Read(&dummyRead, 1);
196 len = wav.Read(&dummyRead, 1);
206 len = wav.Read(&CHUNKheaderObj, sizeof(WAVE_CHUNK_header));
336 "unknown WAV format TAG!");
343 int32_t ModuleFileUtility::InitWavReading(InStream& wav,
350 if(ReadWavHeader(wav) == -1
[all...] |
| media_file_utility.h | 53 // Note: This API can only be successfully called for WAV files with stereo
55 int32_t ReadWavDataAsStereo(InStream& wav,
63 // mono). Stereo is only supported for WAV files.
74 // Finalizes the WAV header so that it is correct if nothing more will be
178 // Biggest WAV frame supported is 10 ms at 48kHz of 2 channel, 16 bit audio.
187 // Parse the WAV header in stream.
190 // Update the WAV header. freqInHz, bytesPerSample, channels, format,
257 size_t _dataSize; // Chunk size if reading a WAV file
259 // chunks if reading WAV.
|
| /external/sonic/doc/ |
| post | 5 ../samples/sonic.wav
6 ../samples/soundstretch.wav"
18 rm ../samples/*.wav index.html
|
| /external/tensorflow/tensorflow/contrib/ffmpeg/ |
| encode_audio_op.cc | 103 OP_REQUIRES(context, file_format == "wav",
105 "file_format must be \"wav\", but got: ", file_format));
143 format. This value must be `"wav"`.
148 an int or rank-0 `int32` tensor. This is ignored by the "wav" file
161 OP_REQUIRES(context, file_format_ == "wav",
162 errors::InvalidArgument("file_format arg must be \"wav\"."));
221 file_format: A string describing the audio file format. This must be "wav".
224 ignored by the "wav" file format.
|
| ffmpeg_ops.py | 45 or wav.
81 string tensor. "wav" is the only supported format.
93 bits_per_second=192000) # not used by WAV
|
| decode_audio_op.cc | 38 const char* kValidFileFormats[] = {"mp3", "mp4", "ogg", "wav"};
205 format. This must be one of: "mp3", "mp4", "ogg", "wav".
289 file_format: A string describing the audio file format. This can be "mp3", "mp4", "ogg", or "wav".
|
| /external/tensorflow/tensorflow/examples/wav_to_spectrogram/ |
| wav_to_spectrogram_test.cc | 20 #include "tensorflow/core/lib/wav/wav_io.h"
26 tensorflow::io::JoinPath(tensorflow::testing::TmpDir(), "input_wav.wav");
32 tensorflow::wav::EncodeAudioAsS16LEWav(audio, 44100, 1, 8, &wav_string));
|
| /external/ltp/testcases/commands/file/ |
| file01.sh | 100 18) file_test in.wav "RIFF (little-endian) data, WAVE audio, Microsoft PCM";;
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| summary_audio_op_test.py | 45 audio { content_type: "audio/wav" sample_rate: %d
|
| /toolchain/binutils/binutils-2.27/gas/testsuite/gas/m68hc11/ |
| insns12.s | 70 wav
|
| /external/Microsoft-GSL/tests/ |
| multi_span_tests.cpp | 1649 auto wav = av.as_writeable_bytes(); variable
1655 auto wav = as_writeable_bytes(av); variable
1663 auto wav = as_writeable_bytes(av); variable
1675 auto wav = as_writeable_bytes(av); variable
[all...] |
