--- title: "Bhuvana Ramabhadran · Google — author profile and papers" description: "Bhuvana Ramabhadran, Google: 4 papers on Elamur Research (2017–2018), h-index 47 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/bhuvana-ramabhadran/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bhuvana-ramabhadran/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Bhuvana Ramabhadran # Bhuvana Ramabhadran Bhuvana Ramabhadran has 4 papers in our library, in 2017–2018, most of them on [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Kartik Audhkhasi](https://md.research.elamur.ai/free/en/authors/kartik-audhkhasi/), [George Saon](https://md.research.elamur.ai/free/en/authors/george-saon/), [Michael Picheny](https://md.research.elamur.ai/free/en/authors/michael-picheny/). 4 papers in our library · 2017–2018 [OpenAlex](https://openalex.org/A5071715737) · [ORCID](https://orcid.org/0000-0002-8049-2345) · [**h-index 47**](https://openalex.org/authors/A5071715737) · [333 works](https://openalex.org/works?filter=author.id:A5071715737) · [9,624 citations](https://openalex.org/works?filter=author.id:A5071715737&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/bhuvana-ramabhadran/#papers) · [🔗 Cited 65 times in our library](https://md.research.elamur.ai/free/en/authors/bhuvana-ramabhadran/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2799](https://md.research.elamur.ai/free/en/paper-stars/page/28/#star-2799) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Bhuvana+Ramabhadran) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bhuvana+Ramabhadran) · [dblp](https://dblp.org/search?q=Bhuvana+Ramabhadran) · [ACL Anthology](https://aclanthology.org/search/?q=Bhuvana+Ramabhadran) ## Affiliations [🏢**Google** Mountain View · United States 2019–2025 · 42 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🔬**IBM Research - Thomas J. Watson Research Center** Yorktown Heights · United States 1999–2018 · 113 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-thomas-j-watson-research-center/) · [🏢**IBM** Armonk · United States 1999–2018 · 91 papers](https://md.research.elamur.ai/free/en/companies/ibm/) · [🏢**IBM** Markham · Canada 2009 · 2 papers](https://ror.org/025sxka56) · [🎓**University of Houston** Houston · United States 1999–2005 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-houston/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) 🧭 Topics 3 Research subjects and languages the work is about.[Speech & spoken language · 4 works](https://md.research.elamur.ai/free/en/topics/speech/) · [Dialogue systems · 3 works](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [English · 3 works](https://md.research.elamur.ai/free/en/topics/english/) ## Works by year ### 2010s [**2018** 1 paper Bhuvana Ramabhadran's papers of 2018](https://md.research.elamur.ai/free/en/papers/yang-2018-joint-modeling-accents-acoustics-multi/) · [**2017** 3 papers Bhuvana Ramabhadran's papers of 2017](https://md.research.elamur.ai/free/en/authors/bhuvana-ramabhadran/year/2017/) ## Papers The most cited first (OpenAlex and our library). 1. **[English Conversational Telephone Speech Recognition by Humans and Machines](https://md.research.elamur.ai/free/en/papers/saon-2017-english-conversational-telephone-speech-recognition/)** *(2017 · 382 citations)* The paper tests the claim that machines reached human-level accuracy on conversational telephone speech. It also reports a stronger IBM recognizer. The authors hired the transcription vendor Appen to run their own human benchmark on the Switchboard (SWB) and CallHome (CH) subsets of the NIST Hub5 2000 test set. Three… 2. **[Direct Acoustics-to-Word Models for English Conversational Speech Recognition](https://md.research.elamur.ai/free/en/papers/audhkhasi-2017-direct-acoustics-word-models-english/)** *(2017 · 121 citations)* The paper asks whether one neural network can turn speech directly into words, with no phone inventory, pronunciation dictionary, language model or decoder. 3. **[Building competitive direct acoustics-to-word models for English conversational speech recognition](https://md.research.elamur.ai/free/en/papers/audhkhasi-2017-building-competitive-direct-acoustics-word/)** *(2017 · 111 citations)* Direct acoustics-to-word (A2W) models map speech straight to whole words with one neural network. They need no pronunciation lexicon, no decoder and no separately trained language model. Earlier work suggested such models need vastly more audio than phone- or character-based systems, and the authors' own previous A2W… 4. **[Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition](https://md.research.elamur.ai/free/en/papers/yang-2018-joint-modeling-accents-acoustics-multi/)** *(2018 · 73 citations)* Speech recognizers lose accuracy when test speakers have an accent that differs from the training data. Earlier multi-accent acoustic models relied on accent information only indirectly, for example through separate phone sets per accent. Yang et al. instead train an accent identification (AID) network together with… ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[English Conversational Telephone Speech Recognition by Humans and Machines](https://md.research.elamur.ai/free/en/papers/saon-2017-english-conversational-telephone-speech-recognition/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**George Saon, Gakuto Kurata, Tom Sercu, et al.*2017 · 382 citations* 2. **[Direct Acoustics-to-Word Models for English Conversational Speech Recognition](https://md.research.elamur.ai/free/en/papers/audhkhasi-2017-direct-acoustics-word-models-english/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Kartik Audhkhasi, Bhuvana Ramabhadran, George Saon, et al.*2017 · 121 citations* 3. **[Building competitive direct acoustics-to-word models for English conversational speech recognition](https://md.research.elamur.ai/free/en/papers/audhkhasi-2017-building-competitive-direct-acoustics-word/) [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/)**Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran, et al.*2017 · 111 citations* 4. **[Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition](https://md.research.elamur.ai/free/en/papers/yang-2018-joint-modeling-accents-acoustics-multi/) [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/)**Xuesong Yang, Kartik Audhkhasi, Andrew Rosenberg, et al.*2018 · 73 citations* 5. **[Large-scale Language Model Rescoring on Long-form Data ↗](https://arxiv.org/abs/2306.08133) arXiv:2306.08133 · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · no summary yet**Tongzhou Chen et al.*2023 · 21 citations* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Kartik Audhkhasi](https://md.research.elamur.ai/free/en/authors/kartik-audhkhasi/) ×4 - [George Saon](https://md.research.elamur.ai/free/en/authors/george-saon/) ×3 - [Michael Picheny](https://md.research.elamur.ai/free/en/authors/michael-picheny/) ×3 - [Samuel Thomas](https://md.research.elamur.ai/free/en/authors/samuel-thomas/) ×2 - [Andrew Rosenberg](https://md.research.elamur.ai/free/en/authors/andrew-rosenberg/) - [Brian Kingsbury](https://md.research.elamur.ai/free/en/authors/brian-kingsbury/) - [Gakuto Kurata](https://md.research.elamur.ai/free/en/authors/gakuto-kurata/) - [Mark Hasegawa-Johnson](https://md.research.elamur.ai/free/en/authors/mark-hasegawa-johnson/) - [Tom Sercu](https://md.research.elamur.ai/free/en/authors/tom-sercu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/) ×2: [IEEE International Conference on Acoustics Speech and Signal Processing 2018](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/2018/), [IEEE International Conference on Acoustics Speech and Signal Processing 2017](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/2017/) - [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/) ×2: [Interspeech 2017](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2017/) ×2 ## Cited by Papers of our library cite their works 65 times (of the 141,840 papers whose bibliographies we read); [14 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/bhuvana-ramabhadran/cited-by/). Updated 24 October 2026