90 results about "Speech transcription" patented technology

An apparatus, system, and method to transcribe a voice chat session initiated from a text chat session. The system includes a chat server, a voice server, and a transcription engine. The chat server is configured to facilitate a text chat session between multiple instant messaging clients. The voice server is coupled to the chat server and configured to facilitate a transition from the text chat session to a voice chat session between the multiple instant messaging clients. The transcription engine is coupled to the voice server and configured to generate a voice transcription of the voice chat session. The voice transcription may be aggregated into a text chat history.

A method of providing speech transcription performance indication includes receiving, at a user device data representing text transcribed from an audio stream by an ASR system, and data representing a metric associated with the audio stream; displaying, via the user device, said text; and via the user device, providing, in user-perceptible form, an indicator of said metric. Another method includes displaying, by a user device, text transcribed from an audio stream by an ASR system; and via the user device, providing, in user-perceptible form, an indicator of a level of background noise of the audio stream. Another method includes receiving data representing an audio stream; converting said data representing an audio stream to text via an ASR system; determining a metric associated with the audio stream; transmitting data representing said text to a user device; and transmitting data representing said metric to the user device.

A voice transcription system employing a speech engine to transcribe spoken words, detects the spelled entry of words via keyboard or voice to invoke a database of common words attempting to complete the word before all the letters have been input. This database is separate from the database of words used by the speech engine. A voice level indicator is presented to the operator to help the operator keep his or her voice in the ideal range of the speech engine.

A method of, and corresponding headset computer for, performing instant speech translation including, establishing a local network including a link between a first and a second headset computer in which preferred language settings of each headset computer are exchanged, transmitting captured speech in a first language from a first headset computer to a network-based speech recognition service to recognize and transcribe the captured speech as text, receiving the text at the first headset computer, broadcasting the text over the local network to at least the second headset computer, receiving the text at the second headset computer, transmitting the received text from the second headset computer to a network-based text translation service to translate the text to a text in a second language, receiving the text in the second language at the second headset computer from the network-based text translation service, and displaying the translated text at the second headset computer.

A communication system includes at least one transmitting device and at least one receiving device, one or more network systems for connecting the transmitting device to the receiving device, and an automatic speech recognition (“ASR”) system, including an ASR engine. A user speaks an utterance into the transmitting device, and the recorded speech audio is sent to the ASR engine. The ASR engine returns intermediate transcription results to the transmitting device, which displays the intermediate transcription results in real-time to the user. The intermediate transcription results are also correlated by utterance fragment to final transcription results and displayed to the user. The user may use the information thus presented to make decisions as to whether to edit the final transcription results or to speak the utterance again, thereby repeating the process. The intermediate transcription results may also be used by the user to edit the final transcription results.

A multi-language phonetic transcribing system and method are provided for automatically transcribing speech into a phonetic equivalent. The phonetic transcribing system need only be able to recognize the limited number of phonemes of a particular language, e.g., the forty-two phonemes in the English language. Each language to be translated may be broken down into the phonetic elements and stored in a phonetic library for that language. The transcribing system detects speech, converts the speech to an electrical signal, and analyzes the frequency, amplitude, and timing characteristics of the speech to produce incoming phoneme information. The incoming phoneme information is compared to the phonetic elements in the active library. A correlator determines the degree of correlation between the incoming phoneme information and the stored information for each phoneme in the library. For each match, based on the degree of correlation, a respective phoneme is preferably stored and/or printed.

The invention relates to an operating method for an automated language recognizer intended for the speaker-independent language recognition of words from different languages, particularly for recognizing names from different languages. The method is based on a language defined as the mother tongue and has an input phase for establishing a language recognizer vocabulary. Phonetic transcripts are determined for words in various languages in order to obtain phoneme sequences for pronunciation variants The phonemes of each relevant phoneme set of the mother tongue are then specifically mapped to determine phoneme sequences that correspond to pronunciation variants.

A speech media transcription system comprises a playback device arranged to play back speech delimited in segments. The system is programmed to provide, for a segment being transcribed, an adaptive estimate of the proportion of the segment that has not been transcribed by a transcriber. The device is arranged to play back that proportion of the segment, optionally after having already played back the entire segment. Additionally, a segmentation engine is arranged to divide speech media into a plurality of segments by identifying speech as such and using timing information but without using a machine conversion of the speech media into text or a representation of text.

The system and method for speech decoding in speech recognition systems provides decoding for speech variants common to such languages. These variants include within-word and cross-word variants. For decoding of within-word variants, a data-driven approach is used, in which phonetic variants are identified, and a pronunciation dictionary and language model of a dynamic programming speech recognition system are updated based upon these identifications. Cross-word variants are handled with a knowledge-based approach, applying phonological rules, part-of-speech tagging or tagging of small words to a speech transcription corpus and updating the pronunciation dictionary and language model of the dynamic programming speech recognition system based upon identified cross-word variants.

A method and system are provided of spoken document retrieval using multiple search transcription indices. The method includes receiving a query input formed of one or more query terms and determining a type of a query term, wherein a type includes a term in a speech recognition vocabulary or a term not in a speech recognition vocabulary. One or more indices of search transcriptions are selected for searching the query term based on the type of the query term. The one or more indices are generated using different speech transcription methods. The results for the query term are scored by the one or more indices and the results of the one or more indices for the query term are merged. The results of the one or more query terms are then merged to provide the results for the query.

A method for building a language model, a speech recognition method and an electronic apparatus are provided. The speech recognition method includes the following steps. Phonetic transcriptions of a speech signal are obtained from an acoustic model. Phonetic spellings matching the phonetic transcriptions are obtained according to the phonetic transcriptions and a syllable acoustic lexicon. According to the phonetic spellings, a plurality of text sequences and a plurality of text sequence probabilities are obtained from a language model. Each phonetic spelling is matched to a candidate sentence table; a word probability of each phonetic spelling matching a word in a sentence of the sentence table are obtained; and the word probabilities of the phonetic spellings are calculated so as to obtain the text sequence probabilities. The text sequence corresponding to a largest one of the sequence probabilities is selected as a recognition result of the speech signal.

A transcription tool assists a user in transcribing audio. The transcription tool includes an audio classification component that classifies an incoming audio stream based on whether portions of the audio stream contain speech data. The transcription tool plays the portions of the audio that contain speech data back to the user and skips the portions of the audio that do not contain speech data. Using a relatively simple command set, the user can control the transcription tool and annotate transcribed text.

A visual toolkit for prioritizing speech transcription is provided. The toolkit can include a logger (102) for capturing information from a speech recognition system, a processor (104) for determining an accuracy rating of the information, and a visual display (106) for categorizing the information and prioritizing a transcription of the information based on the accuracy rating. The prioritizing identifies spoken utterances having a transcription priority in view of the recognized result. The visual display can include a transcription category (156) having a modifiable textbox entry with a text entry initially corresponding to a text of the recognized result, and an accept button (157) for validating a transcription of the recognized result. The categories can be automatically ranked by the accuracy rating in an ordered priority for increasing an efficiency of transcription.

The embodiments of the invention provide a speech processing method and a device, and a device for speech processing. The method comprises the following steps: after one speech transcription operation on a speech stream, acquiring a target speech data packet needing to be re-transcribed from the speech data packets in the speech stream according to a processing result of the speech data packets in the speech stream returned by a server, wherein the processing result includes a speech recognition result and/or an error code; resending the target speech data packet to the server to enable the server to recognize speech from the target speech data packet; receiving a speech recognition result returned by the server for the target speech data packet; and adding the speech recognition result corresponding to the target speech data packet to a speech transcription result corresponding to the speech stream. According to the embodiments of the invention, the integrity of the speech transcription result corresponding to the speech stream is improved, and the accuracy of speech transcription is improved.