/**
This is called when SAPI 5.1 has an event.
In the textless case, we only handle SPIE_RECOGNITION event. We aren't looking
at SPIE_HYPOTHESIS. This might be an error. We might be more robust by handling
both.
We process the event and add the phonemes we get to the result list
**/
void sapi_textless_lipsync::callback()
{
CSpEvent event; // the event
ISpRecoResult *pRecoResult; // recoResult from the event
SPPHRASE *pSpPhrase; // phrase from recoResult
SPRECORESULTTIMES pRecoResultTimes; // result times from RecoResult
WCHAR phone_buffer[256]; // phoneme buffer for conversion
long msStart; // time stamp of the result
while (event.GetFrom(this->m_recogCntxt) == S_OK)
{
if (event.eEventId == SPEI_RECOGNITION /*|| event.eEventId == SPEI_HYPOTHESIS */)
{
// for textless we only accept full recognition. This might be an area
// to watch out for
// pull out the result object
pRecoResult = event.RecoResult();
// pull the whole text from the result
CSpDynamicString pSapiText;
pRecoResult->GetText(SP_GETWHOLEPHRASE, SP_GETWHOLEPHRASE, FALSE, &pSapiText, NULL);
// get the start time for the phrase. we use this as an offset for the phrase
// elements. Not sure if this is correct.
pRecoResult->GetResultTimes(&pRecoResultTimes);
msStart = sapi_time_to_milli(pRecoResultTimes.ullStart);
// extract the phrase object
pRecoResult->GetPhrase(&pSpPhrase);
if (pSpPhrase != NULL)
{
// Process each element of the phrase. These should be our
// orthorgraphs
const SPPHRASEELEMENT *p = pSpPhrase->pElements;
const SPPHRASEELEMENT *pEnd = p + pSpPhrase->Rule.ulCountOfElements;
while (p != pEnd)
{
// for each phrase element we create a marker
// that contains the time stamps along with the
// phonemes. associated with it.
alignment_result al;
al.m_orthography = p->pszDisplayText;
// Get the phonemes
ULONG j = 0;
SPPHONEID phn[2];
phn[1] = 0x00;
while (p->pszPronunciation[j] != 0)
{
// process each phoneme
phn[0] = p->pszPronunciation[j];
m_phnCvt->IdToPhone(phn, phone_buffer);
al.m_phonemes.push_back(phone_buffer);
j++;
}
// start time of the ortheme
al.m_msStart= msStart + bytes_to_milli(p->ulAudioStreamOffset);
// end time of the ortheme
al.m_msEnd = bytes_to_milli(p->ulAudioSizeBytes);
al.m_msEnd += al.m_msStart;
// add it to the results
m_results.push_back(al);
p++;
}
}
}
else if (event.eEventId == SPEI_END_SR_STREAM)
{
// This event occurs when the stream has finished processing.
// we set a flag to indicate that things are done.
m_bDone = TRUE;
}
}
}
/**
This is called by SAPI 5.1 when it has an event.
We use the SpEvent class provided by their SDK to simplify the processing.
Basically, when we get a "RECOGNITION" event or a "SPEI_HYPOTHESIS" event
we process them the same. Hypothesis are more likely, for all but very
short files, "SPIE_RECOGNITION" is a rarity.
Since the hypothesis will include duplicate data, we have a decision. We
can save the newest hypothesis or we can save the one which generates the
most alignments. Imperically, it seems that sticking with the longest
result works best. But perhaps this is not so.
**/
void sapi_textbased_lipsync::callback()
{
//USES_CONVERSION;
CSpEvent event;
ISpRecoResult *pRecoResult; // recoResult from the event
SPPHRASE *pSpPhrase; // phrase from recoResult
SPRECORESULTTIMES pRecoResultTimes; // result times from RecoResult
WCHAR phone_buffer[256]; // buffer for the phonemes
UINT msStart; // start time of the phrase
// Process the events
while (event.GetFrom(this->m_recogCntxt) == S_OK)
{
if (event.eEventId == SPEI_RECOGNITION || event.eEventId == SPEI_HYPOTHESIS)
{
// text based has to accept hypothesis or it mostly fails unless the
// script is very short
// pull out the result object
pRecoResult = event.RecoResult();
// pull the whole text from the result
CSpDynamicString pSapiText;
pRecoResult->GetText(SP_GETWHOLEPHRASE, SP_GETWHOLEPHRASE, FALSE, &pSapiText, NULL);
// get the start time for the phrase. we use this as an offset for the phrase
// elements. Not sure if this is correct.
pRecoResult->GetResultTimes(&pRecoResultTimes);
msStart = sapi_time_to_milli(pRecoResultTimes.ullStart);
std::wstring strPrintText = pSapiText;
std::cerr << "hypothesis: " << wstring_2_string(strPrintText) << std::endl;
// if the new results are longer than existing results in orthographic form
// we accept the results and process the phonemes. Otherwise, we skip it
if ((wcslen(pSapiText) > this->m_strResults.size()))
{
m_strResults = pSapiText;
// clear the old results. This hypothesis trumps it
this->m_results.clear();
// extract the phrase object
pRecoResult->GetPhrase(&pSpPhrase);
if (pSpPhrase != NULL)
{
// Process each element of the phrase. These should be our
// orthorgraphs
const SPPHRASEELEMENT *p = pSpPhrase->pElements;
const SPPHRASEELEMENT *pEnd = p + pSpPhrase->Rule.ulCountOfElements;
while (p != pEnd)
{
// for each phrase element we create a marker
// that contains the time stamps along with the
// phonemes. associated with it.
alignment_result al;
al.m_orthography = p->pszDisplayText;
// Get the phonemes
ULONG j = 0;
SPPHONEID phn[2];
phn[1] = 0x00;
while (p->pszPronunciation[j] != 0)
{
// process each phoneme
phn[0] = p->pszPronunciation[j];
m_phnCvt->IdToPhone(phn, phone_buffer);
al.m_phonemes.push_back(phone_buffer);
j++;
}
// start time of the ortheme
al.m_msStart= msStart + bytes_to_milli(p->ulAudioStreamOffset);
// end time of the ortheme
al.m_msEnd = bytes_to_milli(p->ulAudioSizeBytes);
al.m_msEnd += al.m_msStart;
// add it to the results
m_results.push_back(al);
p++;
}
}
}
}
else if (event.eEventId == SPEI_END_SR_STREAM)
{
// This event occurs when the stream has finished processing.
// we set a flag to indicate that things are done.
m_bDone = TRUE;
}
}
}
